Self-service Data Prep in Fabric using Data Wrangler

We will cover four areas, First a short introduction to how Microsoft Fabric provides a complete analytics platform for every data practitioner, followed by an overview of the Lake-First and open architecture that enables secure and seamless data access. After that we will focus on the developer experience for data scientists on Fabric: Improvements on notebooks and data preparation tools. Finally, We will demo the Data Wrangler as the new data preparation tool that makes common data tasks easy

OpenAI & Fabric are Better Together

This session will walk you through step-by-step building an end-to-end solution that deploys an AI model using Azure OpenAI Studio, consumes it in Fabric and visualizes the result in Power BI

Kick off and Welcome

Kick off and welcome the audience to Toronto Fabric Day 2024

1- Toronto Fabric User Group - Microsoft Fabric Community:
https://community.fabric.microsoft.com/t5/Toronto-Fabric-User-Group/gh-p/TorontoFabricUserGroup

2- Toronto Fabric User Group | LinkedIn:
https://www.linkedin.com/company/toronto-fabric-user-group

3- Toronto Fabric User Group | Meetup:
https://www.meetup.com/toronto-fabric-user-group

DP-600 Exam how to pass tips and tricks

DP-600 Fabric Analytics Engineer Exam study preparation roadmap and how to pass the exam

Welcome - Global Power Platform Bootcamp 2024

Welcoming attendees to Global Power Platform Bootcamp 2024

Modern Data Engineering in Microsoft Fabric

The data engineering experience in Microsoft Fabric enables you to implement data transformations the ways you want, with the tools you prefer. For a code-based ETL, you can use Spark Notebooks written in Python, Java or R, or simply execute Spark jobs with your own code. And for the most common scenarios, you can create low-code ui-based pipelines with Data pipelines and Data flows Gen 2.

Data Science in Fabric

Join us for an exciting session about exploring the data science experience in Microsoft Fabric and how it empowers Data Scientists with a unified and scalable end to end analytics platform. In this session, Ashraf will highlight the seamless Python and Spark integration, collaborative notebooks and AutoML capabilities. He will also showcase the self-service Data Wrangler for efficient data preparation and transformation. By the end, you'll see how Fabric streamlines data science workflows for impactful insights."

Closing - Global Power Platform Bootcamp 2024

Raffel by sponsor. Lot of giveaway

Ask the expert.

Live Q&A with Power Platform Experts

Intro to Data Science in Fabric - Data Wrangler

We will cover four areas, First a short introduction to how Microsoft Fabric provides a complete analytics platform for every data practitioner, followed by an overview of the Lake-First and open architecture that enables secure and seamless data access. After that we will focus on the developer experience for data scientists on Fabric: Improvements on notebooks and data preparation tools. Finally, We will demo the Data Wrangler as the new data preparation tool that makes common data tasks easy

Data Warehousing in Microsoft Fabric

This session covers three areas: the new open, lake-centric warehouse architecture, How the Synapse Data Warehouse allows you to build your data estate the way you want, and finally how it can benefit everyone in your organization, from the citizen developer through to the professional developer, DBA or data engineer.

Fabric for Power BI Users

In this session, you will learn how to use Dataflows Gen2 and Pipelines to ingest data into a Lakehouse and create a dimensional model. You also learn how to generate a Power BI report automatically to display the latest sales figures from start to finish which includes: Prepare and load data into a lakehouse, Build a dimensional model in a lakehouse and Automatically create a report with quick create

Table talk discussion - AutoML and AI in Power BI

I'll be happy to participate on a Table talk discussion about any topic related to AutoML, AI Cognitive Services and AI-Powered Visuals in Power BI

Self-service AI Capabilities in Power BI

This session will demo how to use AI Insights to gain access to a collection of pre-trained machine learning models that enhance your data preparation efforts. Also the functions for Text Analytics and Vision functions, both from Azure Cognitive Services in addition to the custom functions available in Power BI from Azure Machine Learning.

Power BI at Scale using Datamarts

Power BI Datamarts are self-service analytics solutions, enabling users to store and explore data that is loaded in a fully managed database. Datamarts provide a simple and optionally no-code experience to ingest data from different data sources, extract transform and load (ETL) the data using Power Query, then load it into an Azure SQL database that's fully managed and requires no tuning or optimization.

Building a Churn Predictive Model using AutoML in Power BI

A step by step demo on how to build a churn predictive model using AutoML in Power BI

Power Platform Workshop

Workshop

Kick Off

Kick Off

Azure Machine Learning and Power BI

Introduction to the Azure Machine Learning Studio and how to use it to develop and deploy your first machine learning model and visualize it through Power BI

Bootcamp Closing

Bootcamp Closing

Azure Automated Machine Learning in Power BI

This session is about how to leverage the built-in self-service Azure AutoML capabilities in Power BI to build a predictive models and visualize the result in Power BI.

Automated Machine Learning in Power BI

Machine learning is a data science technique to use massive historical data to forecast future behaviors, outcomes, and trends without being explicitly programmed. This session will introduce how to incorporate Machine Learning predictive models into Power BI to gain better predictions and insights about the future.

The ability to visualize and invoke insights from these models, in your reports and dashboards and other analytics, can help disseminate these insights to the business users who need it the most. This makes collaboration among business analysts and data scientists easier and faster than ever before.

Ask The speakers

AI Powered Features in Power BI

Introduce the new AI Powered Features in Power BI like: Key Influencers, Decomposition Trees, Q&A, Explain Increase/Decrease, Different Distribution, etc.
Those infused AI capabilities in Power BI empower business users and data analytics professionals to rapidly get deep insights from BIG Data through self service point-and-clack and drag-and-drop intuitive ways without the need to write a single line of code.

Ask the Experts - Panel Discussion

Ask the Experts - Panel Discussion

AI Builder

AI Builder enables non-data scientists to build Artificial Intelligence (AI) enabled applications using Power Platform. AI Builder could be the starting point for your pivot to learning and building a career in Artificial Intelligence. AI Builder made it possible for people that do not have a programming background to build Machine Learning (ML) algorithms. Start uncovering actionable insights in the data they already have or will create in the future.

AI and Cognitive Services in Power BI

With the massive volumes of data generated today about every aspect of a business finding deep insights from the data can be challenging. This session will introduce how to incorporate the sophisticated pre-trained machine learning models into Power BI.

AI and Cognitive Services provide powerful ways to extract actionable insights from a variety of unstructured sources like documents, images, and social media feeds through Azure Services like Sentiment Analysis, Key Phrase Extraction, Language Detection, and Image Tagging.

AI Advanced Analytics Capabilities in Power BI

Learn about how to use the AI-powered advanced analytics capabilities in Power BI to get in-depth insights beyond what you can usually get using just data visualization.

Using Python/R to build your first Machine Learning Model in Power BU

This hands on workshop will show how to use Python/R in Power BI for data manipulation, Machine Learning and Visualization.

Democratizing Enterprise Data Scenarios with SharePoint,Microsoft Office 365, Excel and Power BI

In this demo-rich session, learn how to use the unique strength of SharePoint in Power BI to boost your business analytics and insights. Learn how to easily collect existing organizational data from SharePoint into Power BI, create visually rich reports to monitor your business, and securely share it with your colleagues. Use the extensive visualisation capabilities with Power BI to get valuable business insights and drill down to the last bit of your data.

Self-service Data Science in Fabric

Join Ashraf for an exciting session about exploring the self-service capabilities in the Data Science experience in Microsoft Fabric.

You will learn how those new features empower Data Scientists to build an end-to-end predictive machine learning model without writing a single line of code.

Ashraf will explain the fundamental concept of the classical Machine Learning and the optimum AutoML process then he will walk you through a step-by-step process to use the self-service Data Wrangler for efficient data preparation and using Fabric AutoML to build a customer churn predictive model with the highest level of prediction accuracy.

By the end of the session, you'll understand how Fabric streamlines the data science workflows for impactful insights.