Calling all professionals, enthusiasts, and learners! On August 29, we’ll be kicking off the “Learn Live: Get started with Microsoft Fabric” series in partnership with Microsoft’s Data Advocacy teams and Microsoft WorldWide Learning teams to deliver 9x live-streamed lessons covering topics related to Microsoft Fabric! These will be delivered via the Microsoft Reactor YouTube channel and will offer the chance to interact with and ask questions live to the presenters (including members of the various engineering teams responsible for developing Microsoft Fabric)!
To register for the series, and get reminders straight to your inbox before each episode airs, head over to the Registration Page for “Learn Live: Get Started with Microsoft Fabric“.
We’ll also be running a Cloud Skills Challenge with a live leader board to track your progress as you complete the interactive training modules that we will cover. To register and begin working on the challenge, head to the “Get Started with Microsoft Fabric Challenge” page.
If you are new to Microsoft Fabric and are looking to sign up for a free trial in order to access the necessary services for this series, we have full instructions in the “Step-by-Step Guide to Enable 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. In this episode, you will:
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. In this episode, you will:
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. In this episode, you will:
Microsoft Fabric includes Data Factory capabilities, including the ability to create pipelines that orchestrate data ingestion and transformation tasks. In this episode, you will:
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. In this episode, you will:
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. In this episode, you will:
Analysis of real-time data streams is a critical capability for any modern data analytics solution. You can use the Real-Time Analytics capabilities of Microsoft Fabric to ingest, query, and process streams of data. In this episode, you will:
In Microsoft Fabric, data scientists can manage data, notebooks, experiments, and models while easily accessing data from across the organization and collaborating with their fellow data professionals. In this episode, you will:
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. In this episode, you will:
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