Alpa Buddhabhatti
Microsoft Data MVP, MCT, Azure Data Engineer
London, United Kingdom
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Alpa is an Azure Data Engineer with a passion for data and technology. She is Microsoft Certified Trainer and certified in Azure Data engineer and Azure Data Science. She is working on Azure services such as Logic Apps, Azure Functions, Azure Key Vault , Azure , Azure Data Factory, Azure Storage and Azure Data Lake .
Awards
Area of Expertise
Topics
Utilizing Microsoft Fabric for Metadata-Driven Pipelines
During this session, we will explore the concept of metadata-driven Azure data pipelines within the framework of Microsoft's Azure Data Factory, focusing on the utilization of Microsoft Fabric to efficiently process various data sources. This demonstration will showcase the seamless integration of the following services:
**Microsoft Fabric
**Azure SQL
By the end of this session, attendees will acquire valuable insights into Microsoft Fabric and gain inspiration on how to leverage its capabilities within their respective business domains.
Simplifying Azure SQL Coding with ChatGPT
In this session, we are going to see how you can use the ChatGPT to simplify and enhance the coding experience. By leveraging the power of natural language processing, developers can express their SQL coding requirements in plain English to troubleshoot issues. This integration empowers developers to write efficient and reliable SQL code, accelerating application development and enhancing productivity in Azure SQL-based projects.
We are going to build SQL code as well as troubleshoot few scenarios
Attendees will leave with ideas about how to use ChatGPT to solve problems.
Exploring Terraform: Azure Service Creation with ChatGPT
In this session, attendees will be introduced to Terraform, followed by a practical demonstration on utilizing Terraform with the assistance of ChatGPT to create various Azure services. The focus will be on the following Azure services:
Azure Key Vault
Azure Storage Account
Azure Data Factory
Azure Synapse Analytics
Azure AQL Database
Additionally, the session will cover essential concepts of Terraform and the capabilities of ChatGPT in this context. By the end of the session, attendees will have gained a foundational understanding of Azure services and Terraform, empowering them to confidently embark on creating Azure resources using Terraform on their own.
Enhancing Azure Functions with ChatGPT for Intelligent Automation
In this session, we will see a quick overview of Azure Function. Later, we will see a quick demo to create azure function using Visual studio and azure portal. we will see basic use cases of it with other Azure service.
Later, we will going to create Azure Function using ChatGPT.
Attendees will leave with knowledge of Azure Function and chatGPT so they can start using it in their business use case.
Following services/Technology/Tools will be using during this session:
Azure Portal
Visual Studio 2019
Azure Function
Azure Key Vault
Azure Storage
ChatGPT
Participants will get knowledge of Azure integration service such as Azure Function so they can apply this in their business case.
Azure Data Factory and ChatGPT
By integrating ChatGPT into Azure Data Factory, users can ask questions, request specific data sets, and receive relevant insights in a conversational manner. ChatGPT can understand the user's intent, process their queries, and retrieve the required data from the connected sources. It can also provide visualizations, summaries, or statistical analysis based on the data, allowing users to gain deeper insights without needing to have technical expertise in data manipulation.
In this session, we will see how to integrate both together and achieve business outcome very quickly and very easily
We are going to use following Azure Services:
Azure Data Factory
Azure Key Vault
Azure SQL
Azure Storage
We are using retain database and asking following questions:
Forecasting and Predictive Analysis:
"Predict the expected sales for the next quarter based on historical data."
"What is the projected customer demand for a particular product in the upcoming months?"
"Forecast the potential impact of a price change on sales volume."
Automated Azure Infrastructure Deployment with ChatGPT and Terraform
In this session, we will see quick overview of Terraform. Later on, We will see how to create Azure Services using Terraform. We are going to see following Azure Services with Terraform:
1. Azure Key Vault
2. Azure Storage Account
3. Azure Data Factory
4. 5. Azure AQL Database
We are going to create it using help of ChatGpt.
In this session, you will see without any prior knowledge of Terraform you can build Terraform script for Azure Services.
Attendees will leave with basic knowledge of Azure Services and Terraform So they can start creating Azure Resource using Terraform
Top 15 Azure Data Factory Tips & Tricks
In this session, I am going to show you a few techniques which will help you to make your Data Integration solution journey easy and fast.
We will see how to design ADF pipelines to avoid issues later on. We will see a couple of performance techniques to save cost and improve performance.
After this session, you’ll have learned some tips and tricks to immediately improve your data solution.
Real world project for Data Project using ADF
Real world project for Data Engineers using Azure Data Factory, Azure SQL, Data Lake, Azure Functions, Azure Logic Apps, CICD & DP203
In this day, we will see quick overview of Azure data factory. Later on we sees series of demos having real work use cases.
We will cover following topics:
1.Dynamic pipelines.
2.Processing a complex XML file and store result into Azure SQL Tables
3. Move .zip file from local machine to Azure Blob Storage and process file and prepare data for further process using Mapping data flow
4. Calling Rest API with global parameters and storing result to Azure SQL table
5.Reading data from xml file and preparing a flat fixed length file
6. Top 10 tips and tricks of Azure Data Factory.
We will also learn how to debug & test data pipeline. Also we set up git repo. Further more, we will see some performance tips
Attendees will leave with Code Repo, ADF knowledge, Presentation and some ideas to use ADF in their Domain.
DP-900 Certificate overview
This this session, I will share overview of DP-900 certificate overview. So attendees will get idea where to start and how to plane for study and exam.
We will see demo to create azure data services using azure portal.
Attendees will leave with quick ideas about their DP-900 journey
Azure Data Factory for Absolutely beginner!!
In this Training day, We will see Azure Data Factory overview. Later on we will see Azure Data Factory Tour.
We will see following task:
1. Create a pipeline
2. Debug a pipeline
3. Set up GitRepo
4. Create a Trigger & Trigger Pipeline
5. Quick overview of Parameterization, Variables and Global Parameters.
6. Create a Dynamic Pipeline with Use Case
7. Create a pipeline to Call rest API and store result to Azure SQL
8. Create a pipeline to call http server and store result o Azure Storage Table
8. We will see How to integrate ADF with other Azure Services such as Azure Functions , Azure Logic Apps etc
9. Quick overview of ADF CICD
10 Azure Data Factory Tips and Tricks
We will see following technology:
1. Azure Data Factory
2. Azure Key Vault
3. Azure Blob Storage
4. Azure SQL Database
5. Azure Functions
6. Azure Logic Apps
We will see following file formats:
1. XML
2. Csv
3. Json
Attendees will leave with Azure Data Factory knowledge from zero to intermediate level
A data integration pipeline for .zip files in Azure Synapse Analytics
In this session, we will explore the process of transferring a .zip file using a Data Integration Pipeline. We will also delve into several practical scenarios involving the movement of .zip files from local machines to Azure Blob storage.
The following technologies will be covered in this session:
1. Azure Synapse Analytics' Data Integration Pipeline
2. SFTP
3. Azure Blob Storage
4. Azure Key Vault
By the end of this session, attendees will gain valuable insights and tips on utilizing Data Integration Pipeline effectively.
A data integration pipeline for .zip files in Azure Synapse Analytics
In this session, we will explore the process of transferring a .zip file using a Data Integration Pipeline. We will also delve into several practical scenarios involving the movement of .zip files from local machines to Azure Blob storage.
The following technologies will be covered in this session:
1. Azure Synapse Analytics' Data Integration Pipeline
2. SFTP
3. Azure Blob Storage
4. Azure Key Vault
By the end of this session, attendees will gain valuable insights and tips on utilizing Data Integration Pipeline effectively.
Azure Data Factory Tips & Tricks in 20 minutes
In this session, I am going to show you a few techniques which will help you to make your data solution journey easy and fast. We will see how to design ADF pipelines to avoid issues later on. We will see a couple of performance techniques to save cost and improve performance.
After this session, you’ll have learned some tips and tricks to immediately improve your data solution.
Azure Data Factory Tips & Tricks
In this session, We will see a few techniques which will help you to make your Data Solution Journey easy and fast. We will see how to design Data Integration pipelines to avoid issues later on. We will see a couple of performance techniques to save cost and improve performance.
Following Azure Technology will be using in this session:
1. ADF
2. Azure Blob Storage
3. Azure SQL Database
4. Azure Key Vault
After this session, you’ll have learned some tips and tricks to immediately improve your data solution.
Azure Data Factory ♡ Bicep
Azure Data Factory Bicep Azure Data Factory (ADF) is a mighty tool when it comes to creating data loading workflows and orchestrations. However, creating ADF loading logic takes a lot of clicking and even though it is thoroughly integrated with Git, the code representation of ADF resources is hardly ever used. Bicep is a mighty tool when it comes to creating Azure Resources from Code and its capabilities go beyond just creating infrastructure resources. What if both came together and we were able to create ADF Linked Services, Datasets and Pipelines from a Bicep template? It would be a match made in heaven. But why wait for dreams to come true? In this session we will introduce you to the basic concepts of ADF and Bicep and then show you how you can create ADF from Code by writing Bicep files and deploy them to your Azure subscription with one click.
Azure Data Factory ♡ Bicep
Azure Data Factory Bicep Azure Data Factory (ADF) is a mighty tool when it comes to creating data loading workflows and orchestrations. However, creating ADF loading logic takes a lot of clicking and even though it is thoroughly integrated with Git, the code representation of ADF resources is hardly ever used. Bicep is a mighty tool when it comes to creating Azure Resources from Code and its capabilities go beyond just creating infrastructure resources. What if both came together and we were able to create ADF Linked Services, Datasets and Pipelines from a Bicep template? It would be a match made in heaven. But why wait for dreams to come true? In this session we will introduce you to the basic concepts of ADF and Bicep and then show you how you can create ADF from Code by writing Bicep files and deploy them to your Azure subscription with one click.
An easy way to proccess complex XML/JSON file using Azure Synapse Data Pipeline
In this session, We will see a demo using Data Integration pipeline.
We will see how to proccess complex json/xml file using Azure Synapse Data Integration Pipeline and moving data to Azure SQL Server. With No code or Low code solution.
At the end of session, you will get basic ideas about following Azure services.
1. Azure Synapse Data Pipeline
2. Azure Key Vault
3. Azure Storage Account
4. Azure SQL Server
5. XML file having array or array or Complex XML object
The main goal of this session is to show a demo
so attendee will leave with ideas about how to use it in their business outcome.
Azure Data Factory Tips & Tricks in 5 minutes
In this session, we will see top 5 Tips and Tricks of ADF.So it will save your time and improve outputs.
Attendee will leave with a few tipsand tricks about ADF which they can apply in their Azure Data Factory.
Azure Function & Azure DeveOps
In this session, I will provide a quick overview of Azure Function. Later, I will show a quick demo to create azure function using Visual studio and azure portal. I will provide basic use cases of it with other Azure sevices. Deploy Azure Function using CICD.
Attendees will leave with knowledge of Azure Function so they can start using it in their business usecase.
Following services/Technology/Tools will be using during this session:
Azure Portal
Visual Studio 2019
Azure Function
Azure Key Vault
Azure Storage
Azure DevOps
Participants will get knowledge of Azure integration servie such as Azure Function so they can apply this in their business case.
Azure Function 101
In this session, I will provide a quick overview of Azure Function. Later, I will show a quick demo to create azure function using Visual studio and azure portal. I will provide basic use cases of it with other Azure service.
Attendees will leave with knowledge of Azure Function so they can start using it in their business use case.
Following services/Technology/Tools will be using during this session:
Azure Portal
Visual Studio 2019
Azure Function
Azure Key Vault
Azure Storage
Participants will get knowledge of Azure integration service such as Azure Function so they can apply this in their business case.
Azure Functions in 20 Minutes for Azure Data Solution
In this session, we will see very high level overview of Azure Functions and see how to create it and how to consume it using Azure Synapse Data integration pipeline.
Following Technology we are using
1.Azure Data Factory
2.Azure Functions
3.Azure Synapse
Attendy will leve with ideas to use Azure Function in their Data Engineer solution.
Azure Logic Apps, Azure Cognitive Service and Power BI
In this session, I will provide a basic introduction of Azure Logic Apps. I will show two demos. First demo is going to show about sentiment Analysis on your data using Azure Text Analytics service. Second demo shows how to refresh your power BI dataset using Azure Logic Apps
This demo will also use the following technologies:
* Azure Key Vault
*Azure Cognitive service (for sentiment analysis)
*Azure Logic Apps
*Power BI
The main goal of this session is to provide basic knowledge of Azure Logic Apps using case study so attendee will leave with Azure Logic Apps and Azure cognitive service and how to apply this in different scenarios.
Azure Functions in 5 Minutes
In this session , we will see quick overview of Azure Functions.
We create new function and we consume it by Azure Data Factory.
Attendee will leave with ideas about Azure Function and how to use it their Azure Data Solutions
Azure Synapse Analytics Data Integration Pipeline in 5 Minutes
In this session, We will see very quick overview of Azure Synapse Data Integration Pipeline. We wil run existing pipelines and see how to monitor it , how to tun it and time permits then see how to set up repository.
Attendees will leave with quick ideas about Azure Synapse Analytics pipelines.
Can an Introvert become an International Speaker? If so, How?
Are you a data professional and would like to share your learnings with others but are scared to speak in public? Are you an Introvert and are comfortable in your own space but also wanted to make an impact in this world? Is something inside you pulling you back from taking the action on your dream?
Meet the two data platform speakers who started their speaking journey from the same exact situation but now sharing their learnings across the world helping other data professionals in their journey.
How did they actually begin, what challenges did they go through and who helped them along the way?
As they speak about their incredible journey, they will share some key details in becoming a speaker, the advantages, steps to improve data skills and develop careers along the way so the audience can carry the knowledge as they take their first steps in becoming one.
Data Integration Pipeline Using Azure data Factory
In this full day of training, we’ll start with the very basics Azure Data Factory overview and learn how to orchestrate your Azure data platform.
You will learn how to build out Azure Data Factory Pipeline with Azure control flow and data flow components.
We’ll start by covering the fundamentals within the resources and together build out pipelines that ingest data from local various different sources, transform and serve it to consumers.
We’ll then see few case studies having Azure Function and Azure Logic Apps with Azure Data Factory. We’ll also see best practice and do and don’t using ADF.
We’ll build Dynamic pipeline. We’ll then learn how to dealing with setup code repository, triggering, monitoring, dynamic pipeline content as well as CI/CD practices.
Start the day knowing nothing about Azure Data Integration pipelines and leave with the knowledge about ADF and know how to apply it in your Business cases.
How to Implement CI/CD pipelines for Azure Data Factory
In this session, we will see a quick overview of ADF and Azure Devops. We are also going to see how to deploy Azure Data Factory using cherry picking technique. If more than one data engineer is working on the same Data Factory and some of the work items are still in the testing phase, but you need to deploy already a couple of tested items into to Production, then how would you proceed? Or what if there is a new hotfix requirement, then how would you solve this?
The main goal of this session is to show you a solution for hotfix deployment to your Azure Data Factory.
Attendees will leave with the necessary knowledge of to implement this in their Azure Data Factory environment with Azure DevOps.
How to Implement CI/CD pipelines for Azure SQL Server
In this session, we will see a quick overview Azure Devops. We are also going to see how to deploy Azure SQL Server and Database using cherry picking technique. If more than one data engineer is working on the same Azure SQL Project and some of the work items are still in the testing phase, but you need to deploy already a couple of tested items into to Production, then how would you proceed? Or what if there is a new hotfix requirement, then how would you solve this?
The main goal of this session is to show you a solution for hotfix deployment to your Azure SQL Database.
Attendees will leave with the necessary knowledge of to implement this in their Azure SQL environment with Azure DevOps.
No code or Low code with Azure Synapse
In his session, I will provide very quick oveview of Azure Synapse's Data Integration component in 10 minutes. I will show how you can create you first data integration pipeline using just visual interface.
Attendee will learn with Data Integration componet of Azure Synapse.
Real world example of Azure Data Factory!!!
In this session, We will mainly see demos. We will see two case studies or scenarios .
1. Moving Complex file e.g. xml/json from blob storage to Azure SQL Server
2. Moving .zip file from SFTP to Azure Blob storage and process it based on required format to Call Rest API.
We will see following Azure Services
1. ADF
2. Azure Blob Storage
3. Azure SQL Server
4.Rest API (Web Activity)
5. Azure Key Vault
Attendees will leave with code Repo, Presentation slid and Azure Data Factory knowledge.
Sentiment Analysis using Azure Data Factory and Azure Cognitive service
In this session, I will provide a basic introduction of Azure Data Factory, a scalable cloud-based data integration service. I will show a case study to move data from Azure Blob Storage to Azure SQL Server. Also, I will show to how to apply sentiment Analysis on your data using Azure Text Analytics service. Also, How to send an email using ADF and Logic Apps. This demo will also use the following technologies:
* Azure Key Vault
*Azure Blob Storage
*Azure Sql Server
*Azure Cognitive service (for sentiment analysis)
* Azure Data Factory and its Data Flows.
*Azure Logic Apps
The main goal of this session is to provide basic knowledge of ADF using case study so attendee will leave with ADF knowledge and Also Azure cognitive service and how to apply this in different scenarios.
Sentiment Analysis using Azure Synapse Analytics and Azure Cognitive service
In this session, we will see a basic introduction of Azure Synapse Analytics. We will see a case study to move data from Azure Blob Storage to Azure SQL Server. Furthermore, We will see how we can transform data on-the-fly with Azure Synapse Analytics . Also, We will see how to apply sentiment Analysis on your data using Azure Text Analytics service.
This session is uisng to No code or Low code Data Integration pipleine in Azure Synapse Analytics.
This demo will also use the following technologies:
* Azure Key Vault
*Azure Blob Storage
*Azure Sql Server
*Azure Cognitive service (for sentiment analysis)
* Azure Synapse
The main goal of this session is to provide quick overview of Azure Synapse Analytics Data integration pipeline using case study so attendee will leave with Synapse knowledge and Azure cognitive service and how to apply this in different scenarios.
Serverless Data Integration Apps using Azure Data Factory, Azure Functions and Logic Apps
In this session, I will provide basic overview of using Azure Data Factory, Azure Function and Logic Apps .
Later I will show demo using Azure Data Factory, Azure Key Vault, Azure Blob Storage and Azure Data Lake .
A Case study for moving data from Azure SQL Server to Azure Blob Storage. Also it sows a customized notification using Azure Logic Apps .
At the end of session, you will get basic ideas about following Azure services.
1. Azure Data Factory
2. Azure Function
3. Azure Logic Apps
4. Azure Key Vault
5. Azure Storage Account
6. Azure SQL Server
The main goal of this session is to provide basic knowledge of ADF, Azure Logic Apps and Azure Function using Demo so attendee will leave with ADF knowledge and how to apply this in different scenarios.
The gender pay gap is real!
The data platform technologies are changing at a very fast pace, over the time more women are joining the data platform workforce, however many external barriers are still a constant factor especially gender bias and pay inequality.
Women working full time in the U.S. are still paid just 83 cents to every dollar earned by men — and the consequences of this gap affect women throughout their lives. The pay gap even follows women into retirement: As a result of lower lifetime earnings, they receive less in Social Security and pensions. The wage offered to women for tech jobs in the UK is 2.8% less than offered to male counterparts.
The gender pay gap in tech is real, we need to learn what we can all do to address these challenges.
Surbhi and Alpa are two accomplished data professionals who have also faced these external barriers (gender bias, gender pay gap, micro aggressions) to internal barriers (self doubt, impostor syndrome, fear of failure, and more). In this informal discussion Surbhi and Alpa would share their experience around pay inequality and some actions that helped them to overcome this barrier.
Top 10 Azure Data Factory Tips & Tricks
In this session, I am going to show you a few techniques which will help you to make your data solution journey easy and fast. We will see how to design ADF pipelines to avoid issues later on. We will see a couple of performance techniques to save cost and improve performance.
After this session, you’ll have learned some tips and tricks to immediately improve your data solution.
End to end Machine Learning solution using Azure Machine Learning
This session gives overview of Azure Machine Learning and shows step by step Demo for how to use Azure Machine learning designer with data and create a Machine Learning system without any priore knowledge of Machine Learning, Data Science, Maths and programming lenguages.
Also, It explains, basic key terms related to Azure ML, Data science and Algorithms.
I also show a demo to predicted a user get Loan or not.This demo will also use the following technologies:
*Azure Blob Storage
*Azure Machine Learning Studio
*Postman (To test REST endpoints)
*ADF (To Compume ML Model)
*Azure Synapse (To Compume ML Model)
The Key takeaway is that attendees will get ideas about the skills and knowledge required to recognize an opportunity for a machine learning application and seize it. Also attendee gets to know well about Azure Machine Leaning.
End to end Machine Learning solution using Azure Machine Learning
This session gives overview of Azure Machine Learning and shows step by step Demo for how to use Azure Machine learning designer with data and create a Machine Learning system without any priore knowledge of Machine Learning, Data Science, Maths and programming lenguages.
Also, It explains, basic key terms related to Azure ML, Data science and Algorithms.
I also show a demo to predicted a user get Loan or not.This demo will also use the following technologies:
*Azure Blob Storage
*Azure Machine Learning Studio
*Postman (To test REST endpoints)
*ADF (To Compume ML Model)
*Azure Synapse (To Compume ML Model)
The Key takeaway is that attendees will get ideas about the skills and knowledge required to recognize an opportunity for a machine learning application and seize it. Also attendee gets to know well about Azure Machine Leaning.
Azure Logic Apps for everyone in 10 Minutes
In this session, I will provide a quick Overview & quick tour of Azure logic Apps. I will show you how can you connect Azure SQL Server using logic Apps. Also shows how you can apply sentiment analysis on costomer feedbacks based on twitt post.
Demo will shows following techologies:
Azure SQL Server
Azure Logic Apps
Azure Congnitive Service - Text Analytics
Attendee will leave with basic ideas about above Azure Services and get ideas where to use above services in their business case.
Azure Function in 10 minutes
In this session, I will give a quick overview of Azure Function. Azure Functions are serverless solutions. A Demo shows an use case with Azure Function, Azure Blob Storage, Azure SQL Server and Azure Key Vault.
Following Technologies will be used in this session:
*Azure Function
*Azure Blob Storage
*Azure Key Valut
*Azure Sql Server
*Visual Studio 2019
Attendee will leave with ideas about how to use them in event driven scenarios.
A case Study - Event Driven work flow using Azure Data Factory, Azure funtion and Logic Apps
In this session, I will provide basic overview of using Azure Data Factory, Azure Function and Logic Apps .
Later I will show demo using Azure Data Factory, Azure Key Vault, Azure Blob Storage and Azure Data Lake .
A Case study for moving data from Azure SQL Server to Azure Blob Storage. Also it sows a customized notification using Azure Logic Apps .
At the end of session, you will get basic ideas about following Azure services.
1. Azure Data Factory
2. Azure Function
3. Azure Logic Apps
4. Azure Key Vault
5. Azure Storage Account
6. Azure SQL Server.
The main goal of this session is to provide basic knowledge of ADF, Azure Logic Apps and Azure Function using Demo so attendee will leave with ADF knowledge and how to apply this in different scenarios.
Azure Databricks for everyone!!!
Databricks is a big data and AI game changer and you need to know about it. Learn what Azure Databricks is and the features it offers through a step-by-step demonstration. You'll see that it fully supports SQL, Python, R, and Scala and includes job scheduling, a rich user development IDE, and tight integration with Azure. Jumpstart your entry into the big data world with this exciting introduction.
Following tools/technologies/Services will be used during demo:
Azure Portal
Azure Databricks
Azure Blob Storage
The main goal of this session is to provide very quick overview of Azure Databricks So Attendee can start creating first solution using Azure Databricks.
Azure Databricks for everyone!!!
Databricks is a big data and AI game changer and you need to know about it. Learn what Azure Databricks is and the features it offers through a step-by-step demonstration.
You'll see that it fully supports SQL, Python, R, and Scala and includes job scheduling, a rich user development IDE, and tight integration with Azure.
Jumpstart your entry into the big data world with this exciting introduction.
Following tools/technologies/Services will be used during demo:
Azure Portal
Azure Databricks
Azure Blob Storage
The main goal of this session is to provide very quick overview of Azure Databricks So Attendee can start creating first solution using Azure Databricks.
A Case Study – Data Driven Workflow using Azure Data Factory, Azure Functions and Logic Apps
In this session, I will provide basic overview of using Azure Data Factory ,Azure Function and Logic Apps .
Later I will show demo using Azure Data Factory, Azure Key Vault , Azure Blob Storage and Azure Data Lake .
A Case study for moving data from Azure SQL Server to Azure Blob Storage. Also it sows a customized notification using Azure Logic Apps .
At the end of session , you will get basic ideas about following Azure services.
1. Azure Data Factory
2. Azure Function
3. Azure Logic Apps
4. Azure Key Vault
5. Azure Storage Account
6. Azure SQL Server.
The main goal of this session is to provide basic knowledge of ADF, Azure Logic Apps and Azure Function using Demo so attendee will leave with ADF knowledge and how to apply this in different scenarios.
Azure Synapse Analytics for the Absolute Beginner!!!
In this session, I will provide a basic introduction of Azure Synapse Analytics.I will show a demo to move data from Azure Blob Storage to Azure SQL Server. This demo will also use the following technologies:
*Azure Blob Storage
*Azure Sql Server
* Azure Synapse Analytics
The main goal of this session is to provide basic knowledge of Azure Synapse Analytics using demo so attendee will leave with Azure Synapse Analytics knowledge and how to apply this in different scenarios.
Azure Synapse Analytics for absolute beginner!!!
In this Workshop, I will provide basic overview of Azure Synapses Analytics. Also provide basic answer of Why we need it and where to use it, how to use it and comparision with Azure Data Factory.
I will show demo with Use cases and last will show how to deploy Azure Synapses Analytics uisng CICD pipeline.
In this full-day workshop, you will learn the skills you need to build and maintain data integration solutions in Azure Synapse Analytics.
Folowing Technolofy will be using :
**Azure DEVOPs
**Azure Blob Storage
**Azure SQL Server
**Azure Key Vault
**Azure Synapses Analytics
The main goal of this session is to provide basic knowledge of Azure Synapses Analytics using use cases so attendee will leave with Azure Synapses Analytics knowledge and Also, Demo shows CICD pipelines and Azure DevOps.
Bring your laptop and get ready for a day full of learning and new ideas!
Azure SQL and DevOps for Absolute Beginners
Are you a data professional new to Azure SQL and DevOps? Learn the fundamentals of Azure SQL database and DevOps. In this session, we will walk through the key concepts of Azure, deploy Azure SQL, and managed instance using the Azure portal and DevOps through demo. In the demo, we will be using Azure Key Vault and Azure SQL Server.
The main goal of this session is to provide basic knowledge of Azure DevOps, so attendees will leave with Azure DevOps knowledge and how to apply this in different scenarios.
Azure Machine Learning for everyone
This session shows step by step Demo for how to use Azure Machine learning studio with data and create a Machine Learning system without any priore knowledge of Machine Learning , Data Science, Maths and programming lenguages.
Also, It explains, basic key terms related to Azure ML, Data science and Algorithms.
I also show a demo to predicted a user get Loan or not.
This demo will also use the following technologies:
*Azure Blob Storage
*Azure Machine Learning Studio
The Key takeaway is that attendees will get ideas about the skills and knowledge required to recognize an opportunity for a machine learning application and seize it. Also attendee gets to know well about Azure Machine Leaning.
Azure Logic Apps for everyone in 5 Minutes
In this session , I will provide Quick Tour of Azure logic Apps and show you how can you connect Azure SQL Server using logic Apps .
Demo will shows following techologies:
Azure SQL Server
Azure Logic Apps
Azure Key VAult
Attendee will leave with quick ideas about above technology.
Azure Data Factory, Azure Logic Apps and Power BI for everyone
In this session, we will provide a basic introduction of Azure Data Factory, a scalable cloud-based data integration service and Azure Logic Apps Power BI. We will show a Demo to refresh Power BI datasets with few options such as
*ADF
*Azure Logic Apps
*Uisng above both options.
This demo will also use the following technologies:
*Azure Key Vault
*Azure Data Factory
*Azure Logic Apps
*Azure SQL Server
*Power BI
The main goal of this session is to provide basic knowledge of ADF ,Azure Logic Apps and Power BI using Demo so attendee will leave with above technology and how to apply them in different scenarios.
Sentiment Analysis using Azure Data Factory in 10 minutes
In this session, I will show demo about how you can know customer perception by applying sentiment analysis on customer feedback data without knowing Maths, Data science and Machine Leaning and programming language.
This session will used following technology:
**Azure Data Factory
**Azure Cognitive Service(Text Analytics)
**Azure Blob Storage
**Azure SQL Server
**Azure Key Vault
Attendee will leave with quick ideas about above technology.
Powershell for veryone!!!
In this session, I will give a quick overview of Poweshell.Also I will provide a mini case study for powershell. Later I will show a quick DEMO for accessing Azure Key Vault in CICD pipeline using Powershell.
Following tools/technologies/azure Services will be used:
**Azure Portal
**Azure DevOps
**Azure Key Vaults
**Azure SQL Server
Main Goal of this session is to provide a quick overview of Powershell so attendee get basic knowledge of it to start their poweshell journey.
Machine Learning Using Azure SQL Server
In this session, I will show how to apply Machine Learning in SQL Server Dabase. Demo will show using dample data.
Attendee will leave with ideas about Machile Learning so they can apply to their domain specific Database
Data Transformation using Azure Data Factory
In this session, I will onlt show demo about data transformation using Azure Data Factory.
I will show following points:
How to create Mapping data flow in Azure Data Factory?
How to called Mapping data flow in Azure Data Factory Pipeline?
How to store result into Azure SQL Server?
Attendee will leave with basic knowledge of Azure Data Factory Mapping Data Flow.
Azure Data Lake for everyone in 10 minutes
In this session, I will provide a quick overview of Azure Data Lake. Also shows how to create it using Azure portal. Also will provide list of use cases where Azure Data Lake can be used.
Attendee will leave with a quick ideas about Azure Data Lake.
Machine Learning using Azure Machine Leaning Studio for everyone
This session shows step by step Demo for how to use Azure Machine learning studio with data and create a Machine Learning system. Also, It explains, basic key terms related to Azure ML, Data science and Algorithms. I also show a demo to predecte a user get loan or not.
This demo will also use the following technologies:
*Azure Blob Storage
*Azure Machine Learning Studio
The Key takeaway is that attendee will get ideas about the skills and knowledge required to recognize an opportunity for a machine learning application & Data Science and seize it.
Sentiment Analysis using Azure Data Factory and Azure Cognitive service
In this session , I will provide a basic introduction of Azure Data Factory, a scalable cloud-based data integration service.Also, I will show to how to apply sentiment Analysis on your data using Azure Text Analytics service. Also How to send an email using ADF and Logic Apps. This demo will also use the following technologies:
* Azure Key Vault
*Azure Blob Storage
*Azure Sql Server
*Azure Cognitive service (for sentiment analysis)
* Azure Data Factory and its Data Flows.
*Azure Logic Apps
The main goal of this session is to provide basic knowledge of ADF using case study so attendee will leave with ADF knowledge and Also Azure cognitive service and how to apply this in different scenarios.
PowerApps and Power BI Basics
The session will cover the following
• Basics of Power Platforms
• Sample Power Apps application
• Sample Power BI Report
• Sample integration of Power Apps and Power BI
Following technology will be covered in this sessions,
*Power Apps
*Power BI
*Azure SQL Server
Main goal of this sesson is to provide you overview of Power BI and Power Apps so attendees can leave with basic ideas about above technology and can apply into domain specific business cases.
Power BI and Azure Data Factory
In this session, I will provide a basic introduction of Azure Data Factory, a scalable cloud-based data integration service and Power BI. I will show a Demo to refresh Power BI datasets from Azure Data Factory. This demo will also use the following technologies:
*Azure Key Vault
*Azure Data Factory
*Power BI
The main goal of this session is to provide basic knowledge of ADF & Power BI using Demo so attendee will leave with ADF knowledge and how to apply this in different scenarios.
Panel: New Stars of Data Speaker experiences
Do you have a topic that you would like to share with others but are scared of public speaking?
It is always difficult to make the transition from the attendee to be a presenter. We all been there but took our first step with new stars of data. Come join us sharing our experiences and things we learned along the way!
“If you can speak, you can INFLUENCE. If you can influence, you can CHANGE LIVES -Rob Brown”
Join Alpa Buddhabhatti, Deepthi Goguri, Tsvetelina Kovacheva and Nikola Ilic as they share their experiences on getting started with public speaking!
Machine Learning using Azure Machine Leaning Studio
This session shows step by step Demo for how to use Azure Machine learning studio with data and create a Machine Learning system. Also, It explains, basic key terms related to Azure ML, Data science and Algorithms.I also show a demo to predecte a user get Loan or not.
This demo will also use the following technologies:
*Azure Blob Storage
*Azure Machine Learning Studio
The Key takeaway is that attendee will get ideas about the skills and knowledge required to recognize an opportunity for a machine learning application and seize it. Also attendee gets to know well about Azure Machine leaning.
Azure Static Web Apps in 30 minutes
In this sesson , I will provide you quick overview Azure Static Web Apps. Next , I will show demo to crate your first web site using Building your first static site with Azure Static Web Apps.
This demo will also use the following technologies:
* Azure Static Web Apps
*Azure Portal
*Azure Blob Storage
*Azure Key Vault
The main goal of this session is to provide basic knowledge of Azure Static Web Apps so attendee will leave with Azure static Apps knowledge. Also It will help to prepare for AZ-204.
Azure Sql Server for everyone
In this Session, I will show Demo of Azure sql server creation using azure portal . How to connect Azure sql server using portal, SSMS and ADS. Also will show how to create Machine learning proccess using Azure SQL server
Azure SQL Server & DevOps
In this session ,I will show how to create CICD pipelines for Azure Sql Server. Also will show demo to deploy Azure SQL Server in diffrent enviroment. This demo will also use the following technologies:
* Azure Key Vault
*Azure Sql Server
The main goal of this session is to provide basic knowledge of Azure Devops so attendee will leave withAzure DevOps knowledge how to apply this in different scenarios.
Azure Logic Apps for everyone
In this session , I will provide a basic introduction of Azure Logic Apps. I will show a Demo to sentiment Analysis on your data using Azure Text Analytics service. This demo will also use the following technologies:
* Azure Key Vault
*Azure Cognitive service (for sentiment analysis)
*Azure Logic Apps
The main goal of this session is to provide basic knowledge of Azure Logic Apps using case study so attendee will leave with Azure Logic Apps and Azure cognitive service and how to apply this in different scenarios.
Azure Function for Everyone
In this session, we will provide you with an overview of Azure Function. Azure Function is a fully managed serverless integration service. A use case with Azure Function and Azure Blob Storage and Azure Key Vault will be used for a demo. You will also learn about Continuous Integration and Continuous Delivery of Azure Function objects using Azure DevOps Pipelines.
At the end of this session, you will have a basic understanding of both Azure Function and Azure DevOps. You can apply these ideas to event driven scenarios and the automation of Azure Function pipelines.
Azure Data Factory for everyone
In this session , I will provide a basic introduction of Azure Data Factory, a scalable cloud-based data integration service. I will show a case study to move data from Azure Blob Storage to Azure SQL Server. Furthermore I will show you how you can transform data on-the-fly with Azure Data Factory Mapping Data Flows. This demo will also use the following technologies:
* Azure Key Vault
*Azure Blob Storage
*Azure Sql Server
* Azure Data Factory and its Data Flows.
The main goal of this session is to provide basic knowledge of ADF using case study so attendee will leave with ADF knowledge and how to apply this in different scenarios.
Power Platform Integration using Power Apps and Power BI
In this session, I will show how to create first apps using Power Apps. Later I will show Power Platform Integration.
This demo will also use the following technologies:
*Azure Power Apps
*Power BI
The main goal of this session is to provide basic knowledge of Azure Power Apps wtih demo so attendee will leave with Azure Power Apps and Power BI knowledge and how to apply this in different scenarios.
A Case Study - Sentiment Analysis using Azure Data Factory and Azure Cognitive service
In this session , I will provide a basic introduction of Azure Data Factory, a scalable cloud-based data integration service. I will show a case study to move data from Azure Blob Storage to Azure SQL Server. Furthermore I will show you how you can transform data on-the-fly with Azure Data Factory Mapping Data Flows. Also , I will show to how to apply sentiment Analysis on your data using Azure Text Analytics service.Also How to send an email using ADF and Logic Apps. This demo will also use the following technologies:
* Azure Key Vault
*Azure Blob Storage
*Azure Sql Server
*Azure Cognitive service (for sentiment analysis)
* Azure Data Factory and its Data Flows.
*Azure Logic Apps
The main goal of this session is to provide basic knowledge of ADF using case study so attendee will leave with ADF knowledge and Also Azure cognitive service and how to apply this in different scenarios.
A Case Study - Data Driven Workflow using Azure Data Factory and Logic Apps
In this session, I will provide basic overview of using Azure Data Factory ,Azure Function and Logic Apps . Later I will show demo using Azure Data Factory, Azure Key Vault , Azure Blob Storage and Azure Data Lake .A Case study for moving data from Azure Blob Storage to Azure SQL Server. Also it sows a customized notification using Azure Logic Apps .
At the end of session , you will get basic ideas about following Azure services.
1. Azure Data Factory
2. Azure Function
3. Azure Logic Apps
4. Azure Key Vault
5. Azure Storage Account
6. Azure SQL Server
A Case Study - Data Driven Workflow using Azure Data Factory and Logic Apps
In this session, I will provide basic overview of using Azure Data Factory and Logic Apps . Later I will demo using ADF and Logic for sending an email.
At the end of session , you will get basic ideas about following Azure services.
1. Azure Data Factory
2. Azure Logic Apps
3. Azure Storage Account
A case Study - Event Driven work flow using Azure funtion and Logic Apps
In this session , I will provide overview of Azure Fucntion and Logic Apps. Later I will show Demo using Logic Apps who uses Azure Function and Azure Key Valut.
Main objective of this session is to provide overview of serverless Azure technology such as below so attendee can apply this ideas in there senarios.
*Azure Function
*Logic Apps
*Azure Key Vault
A Case Study - Pipeline parameterization and operationalization using Azure Data Factory
A Case Study - Pipeline parameterization and operationalization using Azure Data Factory
In this session, I will provide a basic introduction of Azure Data Factory, a scalable cloud-based data integration service. I will show a case study to move data from Azure Blob Storage to Azure Data Lake Gen2. Furthermore I will show you how you can transform data on-the-fly with Azure Data Factory Mapping Data Flows. In the demo I will also demonstrate how you can parameterize your pipelines for more metadata-driven development. Also How to send an email using ADF and Logic Apps.Also will show demo using Text Analytics using ADF and Azure Analytics This demo will also use the following technologies:
* Azure Key Vault
* Azure Data Lake GEn 2
* Azure Blob Storage
* Azure Devops
* Azure Data Factory and its Data Flows.
* Azure Logic Apps
* Azure Cognitive Service
The main goal of this session is to provide basic knowledge of ADF using case study so attendee will leave with ADF knowledge and how to apply this in different scenarios. Also It will help to prepare for DP-203 example.
A case study - Deploying Azure Data Factory using CICD Pipeline
In this session , I will provide a basic introduction of Azure Data Factory, a scalable cloud-based data integration service. I will show a case study to move data from Azure Blob Storage to Azure Data Lake Gen2. Furthermore I will show you how you can transform data on-the-fly with Azure Data Factory Mapping Data Flows. Also How to send an email using ADF and Logic Apps. This demo will also use the following technologies:
* Azure Key Vault
* Azure Data Lake GEn 2
* Azure Blob Storage
* Azure Devops
* Azure Data Factory and its Data Flows.
*Azure Logic Apps
The main goal of this session is to provide basic knowledge of ADF using case study so attendee will leave with ADF knowledge and how to apply this in different scenarios. Also It will help to prepare for DP-203 example & AZ-204.
Data Science using Azure Sql Server for everyone
In this session, I am going to show 100% Demo for Creating Azure SQL server. How to access it in Azure portal and in SSMS. Basic queries , Firewall rules and basic data science queries .
Data Science using Azure Machine Learning Designer for everyone
This session shows step by step Demo for how to use Azure Machine learning studio with data and create a Machine learning system. Also , It explains , basic key terms related to Azure ML, Data science and Algorithms. The Key take away is that User will get ideas about the skills and knowledge required to recognize an opportunity for a machine learning application and seize it. Also user gets to know well about Azure Machine leaning .
A Case Study - Data Driven Workflow using Azure Data Factory and Logic Apps
In this session , I will provide a basic introduction of Azure Data Factory, a scalable cloud-based data integration service. I will show a case study to move data from Azure Blob Storage to Azure Data Lake Gen2. Furthermore I will show you how you can transform data on-the-fly with Azure Data Factory Mapping Data Flows. In the demo I will also demonstrate how you can parameterize your pipelines for more metadata-driven development. Also How to send an email using ADF and Logic Apps. This demo will also use the following technologies:
* Azure Key Vault
* Azure Data Lake GEn 2
* Azure Blob Storage
* Azure Devops
* Azure Data Factory and its Data Flows
*Azure Logic Apps
The main goal of this session is to provide basic knowledge of ADF using case study so attendee will leave with ADF knowledge and how to apply this in different scenarios. Also It will help to prepare for DP-203 example.
A Case Study - Data Driven Workflow using Azure Data Factory and Logic Apps
In this session, I will provide basic overview of using Azure Data Factory ,Azure Function and Logic Apps . Later I will show demo using Azure Data Factory, Azure Key Vault , Azure Blob Storage and Azure Data Lake .A Case study for moving data from Azure SQL Server to Azure Blob Storage. Also it sows a customized notification using Azure Logic Apps .
At the end of session , you will get basic ideas about following Azure services.
1. Azure Data Factory
2. Azure Function
3. Azure Logic Apps
4. Azure Key Vault
5. Azure Storage Account
6. Azure SQL Server.
A Case Study - Pipeline parameterization and operationalization using Azure Data Factory
In this session , I will provide a basic introduction of Azure Data Factory, a scalable cloud-based data integration service. I will show a case study to move data from Azure Blob Storage to Azure Data Lake Gen2. Furthermore I will show you how you can transform data on-the-fly with Azure Data Factory Mapping Data Flows. In the demo I will also demonstrate how you can parameterize your pipelines for more metadata-driven development. Also How to send an email using ADF and Logic Apps. This demo will also use the following technologies:
* Azure Key Vault
* Azure Data Lake GEn 2
* Azure Blob Storage
* Azure Devops
* Azure Data Factory and its Data Flows.
*Azure Logic Apps
The main goal of this session is to provide basic knowledge of ADF using case study so attendee will leave with ADF knowledge and how to apply this in different scenarios. Also It will help to prepare for DP-203 example.
Batch processing using Azure Data Factory
In this session , I am going to provide overview about Azure Data Factory . Later showing Demo for batch processing using Azure Data Factory and Azure Data Lake. Goal of this session is to provide overview of Azure Data Factory, Azure Data Lake and ETL process.
Azure Sql Server for everyone
In this session, I am going to show 100% Demo for Creating Azure SQL server. How to access it in Azure portal and in SSMS. Basic queries , Firewall rules, Data Masking , Log and Audit information with Examples.
A Case Study - Data Movement and Transformation using Azure Data Factory
In this session , I will provide a basic introduction of Azure Data Factory, a scalable cloud-based data integration service. I will show a case study to move data from Azure Blob Storage to Azure SQL Server. Furthermore I will show you how you can transform data on-the-fly with Azure Data Factory Mapping Data Flows. In the demo I will also demonstrate how you can parameterize your pipelines for more metadata-driven development. This demo will also use the following technologies:
* Azure Key Vault
* Azure SQL Database
* Azure Blob Storage
* Azure Devops
* Azure Data Factory and its Data Flows.
The main goal of this session is to provide basic knowledge of ADF using case study so attendee will leave with ADF knowledge and how to apply this in different scenarios.
A Case Study - Data Movement and Transformation using Azure Data Factory
Description
In this session , I will provide a basic introduction of Azure Data Factory, a scalable cloud-based data integration service. I will show a case study to move data from Azure Blob Storage to Azure SQL Server. Furthermore I will show you how you can transform data on-the-fly with Azure Data Factory Mapping Data Flows. In the demo I will also demonstrate how you can parameterize your pipelines for more metadata-driven development. This demo will also use the following technologies:
* Azure Key Vault
* Azure SQL Database
* Azure Blob Storage
* Azure Devops
* Azure Data Factory and its Data Flows.
The main goal of this session is to provide basic knowledge of ADF using case study so attendee will leave with ADF knowledge and how to apply this in different scenarios.
Session format
Session
Track
Developer
Level
Intermediate
Language
English
Would you need travel assistance? (flight/hotel)
Yes
A Case Study - Data Movement and Transformation using Azure Data Factory
In this session , I will provide a basic introduction of Azure Data Factory, a scalable cloud-based data integration service. I will show a case study to move data from Azure Blob Storage to Azure SQL Server. Furthermore I will show you how you can transform data on-the-fly with Azure Data Factory Mapping Data Flows. In the demo I will also demonstrate how you can parameterize your pipelines for more metadata-driven development. This demo will also use the following technologies:
* Azure Key Vault
* Azure SQL Database
* Azure Blob Storage
* Azure Devops
* Azure Data Factory and its Data Flows.
The main goal of this session is to provide basic knowledge of ADF using case study so attendee will leave with ADF knowledge and how to apply this in different scenarios.
End to end Azure Data Factory Dynamic Pipeline
This Session I will show a production level end to end ADF pipeline and data transformation. In this session I will show how to create a dynamic pipeline and data flow using pipeline parameterization and variable. Here we show how to move data from REST API to Azure SQL database with transformation. Key takeaway of this session is to attendee will get conceptual flavours of dynamic pipeline , Azure key vault , Azure SQL Server, Azure Blob Storage.
Data-driven AI using Microsoft
This session shows you how to build a machine learning model using Azure Databricks and other services using the Azure platform. You’ll leave with the knowledge and techniques to apply a similar approach to your own company and clients’ data sets. You’ll also be able to see an AI solution using Microsoft Technology applied in a recent Client POC implementation. The solution, based on Azure Data Factory ,Azure Machine learning and Azure Databricks, can create a machine learning model based on past history.
Data transformations - ELT with Azure Data Factory
In this session, we will provide you with an overview of Azure Data Factory (ADF). ADF is a fully managed serverless data integration solution, part of the Azure Data Platform. A use case with ADF and Azure Blob Storage, Azure Data Lack and Azure Key Vault will be used for a demo. You’ll also learn about Continuous Integration and Continuous Delivery of ADF objects using Azure DevOps Pipelines.
Data Driven AI using Microsoft .
In this session, I'll be presenting an AI solution using Microsoft Technology . This solution based on Azure Data Factory and Azure Machine learning can predict the future based on future data. Key take way of this session is that use will get conceptual idea about use Azure Data Factory and Azure Databricks .
Become an expert in Azure Data Factory
Data comes form verity of different sources and thus need to load them into Azure Data Lake and transform them whenever needed. Demo ADF for Extract , Load and transform pattern . Key take away of this session is to provide knowledge of Azure Data Factory so attendee can use this ideas as per business requirement .
Key technology - ADF , Azure Data Lake , Azure Key Vault, Azure Blob Storage .
Azure Data Factory for Everyone with Azure Devops for Pipeline Deployment
This Session , Will provide basic introduction of Azure Data Factory and Azure Devops . Later demo will show how to create ADF pipeline for Moving and transforming data from REST API to Azure SQL Server. Attendee will get ideas about how to create ADF pipeline and how to deploy into different environment using DEVOPS.
Azure Data Factory and Azure Function.
In this session, I will show demo using Azure Data Factory, Azure Function, Azure Key Vault , Azure Blob Storage and Azure Data Lake .A Case study for moving data from Azure SQL Server to Azure Blob Storage , generate a manifest file and last send an Email using logic Apps.
A Case Study - Data Movement and Transformation using Azure Data Factory.
In this session , I will provide basic introduction of Azure data factory. Later will show case study to move data from Azure Blob Storage to Azure SQL Server. Also Demo will show Data Transformation using Azure Data Factory Mapping Data Flow. Also ,Demo will show Pipeline Parameterization. This Demo will have used Azure Key Vault , Azure SQL Server, Azure Blob Storage, Azure DEVOPS, Azure Data Factory and Azure Data Flow.
Main goal of this session is to provide basic knowledge of ADF using case study so attendee will leave with ADF knowledge and apply in different scenarios.
Machine leaning using Azure Machine leaning studio
In this session , I will show how to start machine leaning using Azure Machine leaning studio without any prior knowledge of data science.
GET ANY AZURE DATA FACTORY PIPELINE ERROR DETAILS WITH AZURE FUNCTIONS
In this session , I will explain about ADF and Azure function with Demo . Demo will have a Azure Function having logic to get error for each failed pipeline inside ADF. This Failed pipeline error can be shown as notification .
GET ANY AZURE DATA FACTORY PIPELINE ERROR DETAILS WITH AZURE FUNCTIONS
In this session , I will explain about what is azure data factory and what is azure function with using ADF pipeline and azure function demo. Also it will shows how to access ADF monitor runtime activity using c#.
First pipeline creation using Azure data factory.
In this session, I will show demo of creating first ADF pipeline.
Azure data factory and Devops
In this session, I will explain about data factory with demo and shows how to move data to Azure Sql server. This session demo will cover ADF, Azure sql server, Azure Storage , Azure Key vault and DevOps.
Azure data factory and Azure durable functions
In this section , I will explain basic information related to azure data factory and azure durable function. I will show demo for long running azure function activity using Azure durable function and Azure Data factory .
Azure Data factory and Azure Durable function for every one.
In this session , I will explain about ADF and Azure durable function. Later will show case study DEMO.
Azure data factory and Azure Databricks for every one.
In this session, I will explain about ADF and Azure databricks .Later will show demo using ADF, Azure Machine learning , Azure Databricks for a case study.
Azure Notebooks with Data visualization
In this session, I would like to show how to prepare data before using it for Machine leaning process.
Azure Data Factory for Anyone with Pipeline creation to Azure DevOps Deployment
In this section , I would like to cover what is a Azure data factory .How and Where to start First pipeline. As a part of session , Demo shows step by step creating pipeline.
Azure Data Factory and Azure Dev Ops
In this session , I would like to give quick Demo on ADF and Azure DevOps pipeline for a specific senario.
Azure Data Factory and Azure Dev Ops
Create a ELT solution using azure data factory , azure key vault , azure data lake and azure devops.
Think like Machine learning Algorithm using Microsoft Azure ML for sentimental analysis.
This session , shows step by step Demo using Azure Machine learning studio for a Machine learning Algorithm. Key take away is to apply this concept in any kind of data in any organization.
Machine learning using Azure Machine leaning studio
This session shows step by step Demo for how to use Azure Machine learning studio with data and create a Machine learning system. Also , It explains , basic key terms related to Azure ML, Data science and Algorithms. The Key take away is that User will get ideas about the skills and knowledge required to recognize an opportunity for a machine learning application and seize it. Also user gets to know well about Azure Machine leaning .
Azure DEVOPs CI/CD Pipeline & ADF
This session will explain, DevOps Pipeline and ADF. Also shows a demo for ADF , Azure Blob Storage , Azure SQL server & JSON data. Also , this session shows , how to deploy using DEVOPS PIPELINE from Dev environment to Production. The Key take away is that user will get ideas about the skills and knowledge required to use Azure Devops Pipeline and ADF in the organization.
The Science Behind A Recommend Machine learning system - Using Azure ML
This session will describe about the science behind A recommend system using Azure ML. It will explain basic terminology related to topic .Also ,Demo using a product recommend system.
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PASSMN
In this session, I will provide a basic introduction of Azure Data Factory, a scalable cloud-based data integration service. I will show a case study to move data from Azure Blob Storage to Azure SQL Server.I will show you how you can use SINK as XML in Azure Data Factory using Azure SQL Server and XML which is not a supportive type in ADF as Sink. Also will show How to send an email using ADF and Logic Apps. This demo will also use the following technologies:
Azure Key Vault
Azure Data SQL Server
Azure Blob Storage
Azure Data Factory and its Data Flows.
Azure Logic Apps
Azure SQL Server
The main goal of this session is to provide basic knowledge of ADF using case study so attendee will leave with ADF knowledge and how to apply this in different scenarios.
dataMinds Connect 2022 Sessionize Event
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Microsoft Power BI UK User Group
In this session, we will provide a basic introduction of Azure Data Factory, a scalable cloud-based data integration service and Azure Logic Apps Power BI. We will show a Demo to refresh Power BI datasets with few options such as *ADF *Azure Logic Apps *Uisng above both options. This demo will also use the following technologies:
*Azure Key Vault
*Azure Data Factory
*Azure Logic Apps
*Azure SQL Server
*Power BI
The main goal of this session is to provide basic knowledge of ADF ,Azure Logic Apps and Power BI using Demo so attendee will leave with above technology and how to apply them in different scenarios.
Global AI Bootcamp 2022 Sessionize Event
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SQLBits 2022 Sessionize Event
datasaturdays.com Pordenone 2022 Sessionize Event
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DBAFundamentals
Azure SQL Server And DevOps
In this session, I will show how to create CICD pipelines for Azure SQL Server. Also will show a demo to deploy Azure SQL Server in different environments. This demo will also use the following technologies:
• Azure Key Vault
• Azure SQL Server
The main goal of this session is to provide basic knowledge of Azure DevOps so attendees will leave with Azure DevOps knowledge on how to apply this in different scenarios.
Alpa Buddhabhatti
Alpa is an Azure Consultant with a passion for data and technology at Cluster Reply UK. She is Microsoft Certified Trainer and certified in Azure Data engineer and Azure Data Science. She is working on Azure services such as Logic Apps, Azure Functions, Azure Key Vault, Azure, Azure Data Factory, Azure Storage, and Azure Data Lake.
Welsh Azure User Group - Event User group Sessionize Event
azure integration bootcamp 2022
https://events.powercommunity.com/sessions/a-case-study-data-driven-workflow-using-azure-data-factory-and-logic-apps/
In this session, I will provide basic overview of using Azure Data Factory ,Azure Function and Logic Apps . Later I will show demo using Azure Data Factory, Azure Key Vault , Azure Blob Storage and Azure Data Lake .A Case study for moving data from Azure SQL Server to Azure Blob Storage. Also it sows a customized notification using Azure Logic Apps . At the end of session , you will get basic ideas about following Azure services. 1. Azure Data Factory 2. Azure Function 3. Azure Logic Apps 4. Azure Key Vault 5. Azure Storage Account 6. Azure SQL Server. The main goal of this session is to provide basic knowledge of ADF, Azure Logic Apps and Azure Function using Demo so attendee will leave with ADF knowledge and how to apply this in different scenarios.
South Coast User Group User group Sessionize Event
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datacon 2021
A Case Study - Data Movement and Transformation using Azure Data Factory
DPS 2021
Azure Data Factory
DPS 2021
Azure Function for Everyone.
In this session, we will provide you with an overview of Azure Function. Azure Function is a fully managed serverless integration service. A use case with Azure Function and Azure Blob Storage and Azure Key Vault will be used for a demo. You’ll also learn about Continuous Integration and Continuous Delivery of Azure Function objects using Azure DevOps Pipelines.
At the end of this session, you’ll have a basic understanding of both Azure Function and Azure DevOps. You can apply these ideas to event driven scenarios and the automation of Azure Function pipelines.
SQL Friday Q3 and Q4 2021 Sessionize Event
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