New live sessions start April 16, 2024

Microsoft Fabric Learn Together

Expert-led walk-throughs covering all the Learn modules to prepare you for the exam DP-600 leading to the Fabric Analytics Engineer Associate certification. New live sessions start April 16, 2024, covering time zones worldwide!

Watch this exclusive learning experience now. Also, sign up for the Fabric Cloud Skills Challenge at https://aka.ms/fabric30dtli and complete all the modules to become eligible for a 50% discount on the DP-600 exam.

Get started with end-to-end analytics and lakehouses in Microsoft Fabric

Get started with end-to-end analytics and lakehouses in Microsoft Fabric

Discover how Microsoft Fabric can meet your enterprise's analytics needs in one platform. Learn about Microsoft Fabric, how it works, and identify how you can use it for your analytics needs. Then see how Lakehouses merge data lake storage flexibility with data warehouse analytics. Microsoft Fabric offers a lakehouse solution for comprehensive analytics on a single SaaS platform. This session is presented by **Heidi Hasting** and **Treb Gatte**. In this episode, you will:

  • Describe end-to-end analytics in Microsoft Fabric
  • Describe core features and capabilities of lakehouses in Microsoft Fabric
  • Create a lakehouse
  • Ingest data into files and tables in a lakehouse
  • Query lakehouse tables with SQL
Get started with end-to-end analytics and lakehouses in Microsoft Fabric

Get started with end-to-end analytics and lakehouses in Microsoft Fabric

Discover how Microsoft Fabric can meet your enterprise's analytics needs in one platform. Learn about Microsoft Fabric, how it works, and identify how you can use it for your analytics needs. Then see how Lakehouses merge data lake storage flexibility with data warehouse analytics. Microsoft Fabric offers a lakehouse solution for comprehensive analytics on a single SaaS platform. This session is presented by Mihail Mateev and Treb Gatte. In this episode, you will:

  • Describe end-to-end analytics in Microsoft Fabric
  • Describe core features and capabilities of lakehouses in Microsoft Fabric
  • Create a lakehouse
  • Ingest data into files and tables in a lakehouse
  • Query lakehouse tables with SQL
Use Apache Spark in Microsoft Fabric

Use Apache Spark in Microsoft Fabric

Apache Spark is a core technology for large-scale data analytics. Microsoft Fabric provides support for Spark clusters, enabling you to analyze and process data in a Lakehouse at scale. This session is presented by Anupama Natarajan and Armando Lacerda. In this episode, you will:

  • Configure Spark in a Microsoft Fabric workspace
  • Identify suitable scenarios for Spark notebooks and Spark jobs
  • Use Spark dataframes to analyze and transform data
  • Use Spark SQL to query data in tables and views
  • Visualize data in a Spark notebook
Use Apache Spark in Microsoft Fabric

Use Apache Spark in Microsoft Fabric

Apache Spark is a core technology for large-scale data analytics. Microsoft Fabric provides support for Spark clusters, enabling you to analyze and process data in a Lakehouse at scale. This session is presented by Matthias Falland and Shabnam Watson. In this episode, you will:

  • Configure Spark in a Microsoft Fabric workspace
  • Identify suitable scenarios for Spark notebooks and Spark jobs
  • Use Spark dataframes to analyze and transform data
  • Use Spark SQL to query data in tables and views
  • Visualize data in a Spark notebook
Work with Delta Lake tables in Microsoft Fabric

Work with Delta Lake tables in Microsoft Fabric

Tables in a Microsoft Fabric lakehouse are based on the Delta Lake storage format commonly used in Apache Spark. By using the enhanced capabilities of delta tables, you can create advanced analytics solutions. This session is presented by Greg Low and David Alzamendi. In this episode, you will:

  • Understand Delta Lake and delta tables in Microsoft Fabric
  • Create and manage delta tables using Spark
  • Use Spark to query and transform data in delta tables
  • Use delta tables with Spark structured streaming
Work with Delta Lake tables in Microsoft Fabric

Work with Delta Lake tables in Microsoft Fabric

Tables in a Microsoft Fabric lakehouse are based on the Delta Lake storage format commonly used in Apache Spark. By using the enhanced capabilities of delta tables, you can create advanced analytics solutions. This session is presented by Mariano Kovo and Stephanie Bruno. In this episode, you will:

  • Understand Delta Lake and delta tables in Microsoft Fabric
  • Create and manage delta tables using Spark
  • Use Spark to query and transform data in delta tables
  • Use delta tables with Spark structured streaming
Use Data Factory pipelines in Microsoft Fabric

Use Data Factory pipelines in Microsoft Fabric

Microsoft Fabric includes Data Factory capabilities, including the ability to create pipelines that orchestrate data ingestion and transformation tasks. This session is presented by Nandan Hegde and Mihail Mateev. In this episode, you will:

  • Describe pipeline capabilities in Microsoft Fabric
  • Use the Copy Data activity in a pipeline
  • Create pipelines based on predefined templates
  • Run and monitor pipelines
Use Data Factory pipelines in Microsoft Fabric

Use Data Factory pipelines in Microsoft Fabric

Microsoft Fabric includes Data Factory capabilities, including the ability to create pipelines that orchestrate data ingestion and transformation tasks. This session is presented by Erwin de Kreuk and Javier Villegas. In this episode, you will:

  • Describe pipeline capabilities in Microsoft Fabric
  • Use the Copy Data activity in a pipeline
  • Create pipelines based on predefined templates
  • Run and monitor pipelines
Ingest Data with Dataflows Gen2 in Microsoft Fabric

Ingest Data with Dataflows Gen2 in Microsoft Fabric

Data ingestion is crucial in analytics. Microsoft Fabric's Data Factory offers Dataflows (Gen2) for visually creating multi-step data ingestion and transformation using Power Query Online. This session is presented by Gilbert Quevauvilliers and Matthias Falland. In this episode, you will:

  • Describe Dataflow (Gen2) capabilities in Microsoft Fabric
  • Create Dataflow (Gen2) solutions to ingest and transform data
  • Include a Dataflow (Gen2) in a pipeline
Ingest Data with Dataflows Gen2 in Microsoft Fabric

Ingest Data with Dataflows Gen2 in Microsoft Fabric

Data ingestion is crucial in analytics. Microsoft Fabric's Data Factory offers Dataflows (Gen2) for visually creating multi-step data ingestion and transformation using Power Query Online. This session is presented by Rishi Sapra and Cathrine Wilhelmsen. In this episode, you will:

  • Describe Dataflow (Gen2) capabilities in Microsoft Fabric
  • Create Dataflow (Gen2) solutions to ingest and transform data
  • Include a Dataflow (Gen2) in a pipeline
Get started with data warehouses in Microsoft Fabric

Get started with data warehouses in Microsoft Fabric

Data warehouses are analytical stores built on a relational schema to support SQL queries. Microsoft Fabric enables you to create a relational data warehouse in your workspace and integrate it easily with other elements of your end-to-end analytics solution. This session is presented by Arulprakash Chinnathambi and Martin Catherall. In this episode, you will:

  • Describe data warehouses in Fabric
  • Understand a data warehouse vs a data Lakehouse
  • Work with data warehouses in Fabric
  • Create and manage datasets within a data warehouse
Get started with data warehouses in Microsoft Fabric

Get started with data warehouses in Microsoft Fabric

Data warehouses are analytical stores built on a relational schema to support SQL queries. Microsoft Fabric enables you to create a relational data warehouse in your workspace and integrate it easily with other elements of your end-to-end analytics solution. This session is presented by Angela Henry and Chris Wagner. In this episode, you will:

  • Describe data warehouses in Fabric
  • Understand a data warehouse vs a data Lakehouse
  • Work with data warehouses in Fabric
  • Create and manage datasets within a data warehouse
Organize a Fabric lakehouse using medallion architecture design

Organize a Fabric lakehouse using medallion architecture design

Explore the potential of the medallion architecture design in Microsoft Fabric. Organize and transform your data across Bronze, Silver, and Gold layers of a lakehouse for optimized analytics. This session is presented by Gogula Aryalingam and Anupama Natarajan. In this episode, you will:

  • Describe the principles of using the medallion architecture in data management.
  • Apply the medallion architecture framework within the Microsoft Fabric environment.
  • Analyze data stored in the lakehouse using DirectLake in Power BI.
  • Describe best practices for ensuring the security and governance of data stored in the medallion architecture.
Organize a Fabric lakehouse using medallion architecture design

Organize a Fabric lakehouse using medallion architecture design

Explore the potential of the medallion architecture design in Microsoft Fabric. Organize and transform your data across Bronze, Silver, and Gold layers of a lakehouse for optimized analytics. This session is presented by Joshua Higginbotham and Tom Martens. In this episode, you will:

  • Describe the principles of using the medallion architecture in data management.
  • Apply the medallion architecture framework within the Microsoft Fabric environment.
  • Analyze data stored in the lakehouse using DirectLake in Power BI.
  • Describe best practices for ensuring the security and governance of data stored in the medallion architecture.
Ingest data with Spark and Microsoft Fabric notebooks

Ingest data with Spark and Microsoft Fabric notebooks

Discover how to use Apache Spark and Python for data ingestion into a Microsoft Fabric lakehouse. Fabric notebooks provide a scalable and systematic solution. This session is presented by Chris Hyde and Amit Chandak. In this episode, you will:

  • Ingest external data to Fabric lakehouses using Spark
  • Configure external source authentication and optimization
  • Load data into lakehouse as files or as Delta tables
Ingest data with Spark and Microsoft Fabric notebooks

Ingest data with Spark and Microsoft Fabric notebooks

Discover how to use Apache Spark and Python for data ingestion into a Microsoft Fabric lakehouse. Fabric notebooks provide a scalable and systematic solution. This session is presented by Heini Ilmarinen and Johan Ludvig Brattås. In this episode, you will:

  • Ingest external data to Fabric lakehouses using Spark
  • Configure external source authentication and optimization
  • Load data into lakehouse as files or as Delta tables
Administer Microsoft Fabric

Administer Microsoft Fabric

Microsoft Fabric is a SaaS solution for end-to-end data analytics. As an administrator, you can configure features and manage access to suit your organization's needs. This session is presented by Armando Lacerda and Gaston Cruz. In this episode, you will:

  • Describe Fabric admin tasks
  • Navigate the admin center
  • Manage user access
Administer Microsoft Fabric

Administer Microsoft Fabric

Microsoft Fabric is a SaaS solution for end-to-end data analytics. As an administrator, you can configure features and manage access to suit your organization's needs. This session is presented by Matt Gordon and Gaston Cruz. In this episode, you will:

  • Describe Fabric admin tasks
  • Navigate the admin center
  • Manage user access

Our Speakers

  • Allison Kennedy

    Reporting And Data Insights Analyst, Power BI Trainer, Microsoft MVP, Microsoft Super User, Northpower

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  • Amit Chandak

    Cao, Microsoft MVP, Microsoft Super User, Kanerika Software Pvt.Ltd.

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  • Angela Henry

    Principal Consultant, Microsoft MVP, Fortified

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  • Anupama Natarajan

    Data And Ai Consultant, Microsoft MVP, Pearl Innovations Limited

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  • Armando Lacerda

    Azure Data Architect And Engineer, Microsoft MVP, Microsoft Super User, MC Tech

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  • Arulprakash Chinnathambi

    Senior Software Engineer, Microsoft Super User, EY GDS

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  • Cathrine Wilhelmsen

    Solutions Architect, Microsoft MVP, Evidi

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  • Chris Hyde

    Owner And Principal Consultant, Microsoft MVP, Hydrate Consulting LLC

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  • Chris Wagner

    Director Of Data Solutions, Microsoft MVP, Microsoft Super User, Baker Tilly

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  • David Alzamendi

    Data Architect And Data Consultant, Microsoft MVP, Actionable Data Analytics

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  • Erwin de Kreuk

    Principal Consultant Data & Ai, Microsoft MVP, InSpark

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  • Gaston Cruz

    Director, Microsoft MVP, Microsoft Super User, Slalom

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  • Gilbert Quevauvilliers

    Data Consultant, Microsoft MVP, Microsoft Super User, FourMoo

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  • Gogula Aryalingam

    AVP - Data & AI, Microsoft MVP, Microsoft Super User, Fortude

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  • Greg Low

    Founder, Microsoft MVP, Microsoft Super User, SQL Down Under

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  • Heidi Hasting

    Senior Consultant, Microsoft MVP, Expose

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  • Heini Ilmarinen

    Azure Lead, Microsoft MVP, Polar Squad

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  • Javier Villegas

    It Director Dba & Bi Services, Microsoft MVP, Mediterranean Shipping Company

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  • Johan Ludvig Brattås

    Director, Microsoft MVP, Deloitte

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  • Joshua Higginbotham

    Senior Architect, Microsoft MVP, Centric Consulting

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  • Mariano Kovo

    Data Architect, Microsoft MVP, Precision IT

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  • Martin Catherall

    Data Specialist, Microsoft MVP, BiTQ

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  • Matt Gordon

    Senior Architect, Microsoft MVP, Centric Consulting

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  • Matthias Gessenay

    Cto, Microsoft MVP, Corporate Software

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  • Mihail Mateev

    Ceo/Founder, Microsoft MVP, Microsoft Regional Director, Microsoft Super User, Soft Project LTD

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  • Nandan Hegde

    Data Architect, Microsoft MVP, Accenture

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  • Rishi Sapra

    Data And Ai Strategic Project Lead, Microsoft MVP, Microsoft Super User, Avanade/LDI

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  • Shabnam Watson

    Data And Solution Architect, Microsoft MVP, ABI Cube

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  • Stephanie Bruno

    Bi Architect, Microsoft Super User, iLink Digital

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  • Tom Martens

    Senior Solution Architect, Microsoft MVP, Microsoft Super User, Munich Re

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  • Treb Gatte

    Ceo, Microsoft MVP, Microsoft Super User, Marquee Insights

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Learning Resources

Frequently Asked Questions

Is there a cost to attend the event?

The event is free! You can join YouTube to stream the content for free!

When does the event take place?

Every week starting January 23, 2024 through February 8, 2024

Will this event be available on-demand?

Yes! You can stream our past events anytime! Browse all Learn Live to stream anytime.

Where does the event take place?

This event series is virtual! Join us and thousands of others to enjoy the experience from the comfort of your own home, office, or device.

What language are episodes delivered in?

This show is delivered in English. Captioning in 14 different languages will be available in the recordings, made available 48 hours after each live show at Learn Live.

Code of Conduct

We seek to provide a respectful, friendly, professional experience for everyone, regardless of gender, sexual orientation, physical appearance, disability, age, race or religion. We do not tolerate any behavior that is degrading to any gender, race, sexual orientation, or disability, or any behavior that would be deemed harassment or discrimination. Individuals are responsible for knowing and abiding by our standards and we encourage everyone to assist in creating a welcoming and safe environment. Additionally, we strive to treat our shared planet with the same amount of respect. Please report any questions, concerns, or disruptive activity or behavior to the organizing team, so that we can address the issue immediately.