Get skilled on Microsoft Fabric – the AI-powered analytics platform
Scalable analytics can be complex, fragmented, and expensive. With Microsoft Fabric, you don’t have to spend all your time combining various services from different vendors. Instead, you can use a single product that is easy to understand, set up, create, and manage. Every data source and analytics service is connected, reshaping how you will access, manage and act on data and insights.
Fabric, a unified software-as-a-service (SaaS) offering, reshapes how you use data. Data is now stored in a single open format in OneLake, accessible by all the analytics engines in the platform. Fabric offers scalability, cost-effectiveness, accessibility from anywhere with an internet connection, and continuous updates and maintenance provided by Microsoft.
Fabric offers a set of analytics workloads that are designed to accomplish specific tasks and work together seamlessly. Fabric’s workloads include:
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- Data factory combining Power Query with the scale of Azure Data Factory to move and transform data.
- Data engineering with a Spark platform for data transformation at scale.
- Data warehousing with industry-leading performance and scale to support data use.
- Data science with Azure Machine Learning to enrich organizational data.
- Real-time analytics using Kusto.
- Power BI for translating data to decisions.
Fabric provides a comprehensive data analytics solution by unifying all these workloads on a single platform.
Who is Fabric for?
Microsoft Fabric’s unified management and governance make it easier for data professionals to work together on data projects. Fabric removes data silos and the need for access to multiple systems, enhancing collaboration between data professionals.
Fabric is for everyone – whether you’re a:
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- Data engineer
- Data scientist
- Data analyst
- Business user
Fabric’s workloads have experiences tailored to both pro devs and no-code users.
How can I get skilled?
The Fabric Learning Path is a great way for data professionals to get comfortable with Fabric’s capabilities. Each of the modules gives an overview of the skills you need to know to use Fabric, with links to additional information.
| Introduction to Microsoft Fabric | |||
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| Introduction to end-to-end analytics using 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. |
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| Get started with Lakehouses | A Lakehouse combined the flexible and scalable storage of a data lake with the analytical querying and modeling capabilities of a data warehouse. Microsoft Fabric provides a lakehouse solution that powers end-to-end data analytics in a single software-as-a-service platform. |
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| Use Apache Spark to work with files in a lakehouse | 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. |
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| 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. |
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| 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. |
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| Ingest data with Dataflows Gen2 in Microsoft Fabric | Ingesting data into an analytical store is a key workload in a data analytics solution. Microsoft Fabric’s Data Factory capability includes Dataflows (Gen2), which enable you to visually build multi-step data ingestion and transformation solutions using Power Query. |
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| 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. |
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| Get started with real-time analytics in Microsoft Fabric | 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. |
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| Get started with data science in Microsoft Fabric | Data science is the foundation of machine learning and AI. 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. |
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| 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. |
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Get started with Microsoft Fabric
Microsoft Fabric is currently in preview. Try out everything Fabric has to offer by signing up for the free trial—no credit card information required. Everyone who signs up gets a fixed Fabric trial capacity, which may be used for any feature or capability from integrating data to creating machine learning models. Existing Power BI Premium customers can simply turn on Fabric through the Power BI admin portal. After July 1, 2023, Fabric will be enabled for all Power BI tenants.
Sign up for the free trial. For more information read the Fabric trial docs.
Other resources
If you want to learn more about Microsoft Fabric, consider:
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- Signing up for the Microsoft Fabric free trial
- Visiting the Microsoft Fabric website
- Reading the more in-depth Fabric experience announcement blogs:
- Data Factory experience in Fabric blog
- Synapse Data Engineering experience in Fabric blog
- Synapse Data Science experience in Fabric blog
- Synapse Data Warehousing experience in Fabric blog
- Synapse Real-Time Analytics experience in Fabric blog
- Power BI announcement blog
- Data Activator experience in Fabric blog
- Administration and governance in Fabric blog
- OneLake in Fabric blog
- Microsoft 365 data integration in Fabric blog
- Dataverse and Microsoft Fabric integration blog
- Exploring the Fabric technical documentation
- Exploring the Fabric end-to-end tutorials
- Reading the free e-book on getting started with Fabric
- Exploring the Fabric learn modules
- Exploring Fabric through the Guided Tour
- Watching the free Fabric webinar series
- Joining the Fabric community to post your questions, share your feedback, and learn from others
- Visiting Microsoft Fabric Ideas to submit suggestions for improvements and vote on your peers’ ideas
