Every week starting April 16, 2024 through May 2, 2024 (9 episodes in Mexico City time zone)

Microsoft Fabric Learn Together (LATAM)

Expert-led live walk-throughs covering all the Learn modules to prepare you for the DP-600 exam leading to the Fabric Analytics Engineer Associate certification. 9 episodes delivered in Mexico City time zone.

Register now for this exclusive live learning experience. We recommend that you complete all the modules in the Fabric 30 Days to Learn It Cloud Skills Challenge at https://aka.ms/fabric30dtli before attending this session. Completing the challenge could make you 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: April 16, 2024 7:00PM - 8:30PM (Mexico City)

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 episode is delivered in Spanish. 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: April 17, 2024 7:00PM - 8:30PM (Mexico City)

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 episode is delivered in Spanish. 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: April 18, 2024 7:00PM - 8:30PM (Mexico City)

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 episode is delivered in Spanish. 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: April 23, 2024 7:00PM - 8:30PM (Mexico City)

Microsoft Fabric includes Data Factory capabilities, including the ability to create pipelines that orchestrate data ingestion and transformation tasks. This episode is delivered in Spanish. 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: April 24, 2024 7:00PM - 8:30PM (Mexico City)

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 episode is delivered in Spanish. 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: April 25, 2024 7:00PM - 8:30PM (Mexico City)

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 episode is delivered in Spanish. 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: April 30, 2024 7:00PM - 8:30PM (Mexico City)

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 episode is delivered in Spanish. 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: May 1, 2024 7:00PM - 8:30PM (Mexico City)

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 episode is delivered in Spanish. 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: May 2, 2024 7:00PM - 8:30PM (Mexico City)

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 episode is delivered in Spanish. In this episode, you will:

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

Our Speakers

  • Ahias Portillo

    Data Architect, Microsoft MVP, Babel

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  • Ana María Bisbé York

    Consultoría Y Formación Business Intelligence, Microsoft MVP, Amby.net

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  • Gaston Cruz

    Director, Microsoft MVP, Microsoft Super User, Slalom

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  • Gonzalo Bissio

    Data&AI Director, Microsoft Super User, Precision IT

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  • Javier Villegas

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

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  • Mariano Kovo

    Data Architect, Microsoft MVP, Precision IT

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  • Maximiliano Damian Accotto

    Owner And Senior Microsoft Database Architect, Microsoft Super User, TriggerDB Consulting SRL

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  • Nicolas Nakasone

    Senior Data Engineer Consultant, Microsoft MVP, Avanade

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  • Raul Sarachaga

    Gerente De Datos, Microsoft MVP, Mibanco

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  • Ricardo Rincón

    Tech Lead BI, Microsoft MVP, CrossPoint 365

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  • Walter Calcagno Lucares

    Specialist Senior, Microsoft MVP, EY

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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 Tuesday, Wednesday and Thursday starting April 16, 2024 through May 2, 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 Spanish. 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.