Alpa Buddhabhatti

Information & Communications Technology

Azure Data & AI Azure Azure Data Platform Azure Data Azure SQL Cloud SQL Cloud & DevOps Cloud Computing on the Azure Platform

London, England, United Kingdom

Alpa Buddhabhatti

Cluster reply , London , UK

Alpa is an azure Consultant with a passion for data and technology at Cluster Reply. Alpa has around 12 years' experience as software developer and have worked in a variety of projects.


any location

Current sessions

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.


Moderator Or Mentor

Moderator Or Mentor


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 .


Both Moderator and Mentor

Both Moderator and Mentor


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.


Past and future events