New live sessions start April 16, 2024
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Amit Chandak
Cao, Microsoft MVP, Microsoft Super User, Kanerika Software Pvt.Ltd.
Angela Henry
Principal Consultant, Microsoft MVP, Fortified
Anupama Natarajan
Data And Ai Consultant, Microsoft MVP, Pearl Innovations Limited
Armando Lacerda
Azure Data Architect And Engineer, Microsoft MVP, Microsoft Super User, MC Tech
Arulprakash Chinnathambi
Senior Software Engineer, Microsoft Super User, EY GDS
Cathrine Wilhelmsen
Solutions Architect, Microsoft MVP, Evidi
Chris Hyde
Owner And Principal Consultant, Microsoft MVP, Hydrate Consulting LLC
Chris Wagner
Director Of Data Solutions, Microsoft MVP, Microsoft Super User, Baker Tilly
David Alzamendi
Data Architect And Data Consultant, Microsoft MVP, Actionable Data Analytics
Erwin de Kreuk
Principal Consultant Data & Ai, Microsoft MVP, InSpark
Gaston Cruz
Director, Microsoft MVP, Microsoft Super User, Slalom
Gilbert Quevauvilliers
Data Consultant, Microsoft MVP, Microsoft Super User, FourMoo
Gogula Aryalingam
AVP - Data & AI, Microsoft MVP, Microsoft Super User, Fortude
Greg Low
Founder, Microsoft MVP, Microsoft Super User, SQL Down Under
Heidi Hasting
Senior Consultant, Microsoft MVP, Expose
Heini Ilmarinen
Azure Lead, Microsoft MVP, Polar Squad
Javier Villegas
It Director Dba & Bi Services, Microsoft MVP, Mediterranean Shipping Company
Johan Ludvig Brattås
Director, Microsoft MVP, Deloitte
Joshua Higginbotham
Senior Architect, Microsoft MVP, Centric Consulting
Mariano Kovo
Data Architect, Microsoft MVP, Precision IT
Martin Catherall
Data Specialist, Microsoft MVP, BiTQ
Matt Gordon
Senior Architect, Microsoft MVP, Centric Consulting
Matthias Gessenay
Cto, Microsoft MVP, Corporate Software
Mihail Mateev
Ceo/Founder, Microsoft MVP, Microsoft Regional Director, Microsoft Super User, Soft Project LTD
Nandan Hegde
Data Architect, Microsoft MVP, Accenture
Rishi Sapra
Data And Ai Strategic Project Lead, Microsoft MVP, Microsoft Super User, Avanade/LDI
Shabnam Watson
Data And Solution Architect, Microsoft MVP, ABI Cube
Stephanie Bruno
Bi Architect, Microsoft Super User, iLink Digital
Tom Martens
Senior Solution Architect, Microsoft MVP, Microsoft Super User, Munich Re
Treb Gatte
Ceo, Microsoft MVP, Microsoft Super User, Marquee Insights
Learning Resources
Get started with end-to-end analytics and lakehouses in Microsoft Fabric
Complete the Learn module
Get started with end-to-end analytics and lakehouses in Microsoft Fabric
Complete the Learn module (2)
Get started with end-to-end analytics and lakehouses in Microsoft Fabric
Complete the Learn module
Get started with end-to-end analytics and lakehouses in Microsoft Fabric
Complete the Learn module (2)
Use Apache Spark in Microsoft Fabric
Complete the Learn module
Use Apache Spark in Microsoft Fabric
Complete the Learn module
Work with Delta Lake tables in Microsoft Fabric
Complete the Learn module
Work with Delta Lake tables in Microsoft Fabric
Complete the Learn module
Use Data Factory pipelines in Microsoft Fabric
Complete the Learn module
Use Data Factory pipelines in Microsoft Fabric
Complete the Learn module
Ingest Data with Dataflows Gen2 in Microsoft Fabric
Complete the Learn module
Ingest Data with Dataflows Gen2 in Microsoft Fabric
Complete the Learn module
Get started with data warehouses in Microsoft Fabric
Complete the Learn module
Get started with data warehouses in Microsoft Fabric
Complete the Learn module
Organize a Fabric lakehouse using medallion architecture design
Complete the Learn module
Organize a Fabric lakehouse using medallion architecture design
Complete the Learn module
Ingest data with Spark and Microsoft Fabric notebooks
Complete the Learn module
Ingest data with Spark and Microsoft Fabric notebooks
Complete the Learn module
Complete the Learn module
Complete the Learn module
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.
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