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You're reading from  Learn Microsoft Fabric

Product typeBook
Published inFeb 2024
Reading LevelN/a
PublisherPackt
ISBN-139781835082287
Edition1st Edition
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Authors (2):
Arshad Ali
Arshad Ali
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Arshad Ali

Arshad Ali is a principal product manager at Microsoft, working on the Microsoft Fabric product team in Redmond, WA. He focuses on Spark Runtime, which empowers both data engineering and data science experiences. In his previous role, he helped strategic customers and partners adopt Azure Synapse and Microsoft Fabric. Arshad has more than 20 years of industry experience and has been with Microsoft for over 16 years. He is the co-author of the book Big Data Analytics with Azure HDInsight and the author of over 200 technical articles and blogs on data and analytics. Arshad holds an MBA from the Foster School of Business at the University of Washington and an MCA from India.
Read more about Arshad Ali

Bradley Schacht
Bradley Schacht
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Bradley Schacht

Bradley Schacht is a principal program manager on the Microsoft Fabric product team based in Saint Augustine, Florida. Bradley is a former consultant and trainer and has co-authored five books on SQL Server and Power BI. As a member of the Microsoft Fabric product team, Bradley works directly with customers to solve some of their most complex data problems and helps shape the future of Microsoft Fabric. Bradley gives back to the community by speaking at events, such as the PASS Summit, SQL Saturday, Code Camp, and user groups across the country, including locally at the Jacksonville SQL Server User Group (JSSUG). He is a contributor on SQLServerCentral and blogs on his personal site, BradleySchacht.
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What are capacities?

Every operation needs compute power. For each workload in Fabric, the optimal type of compute may look slightly different. Where SQL runs best on CPUs, Spark will be better on GPUs. Some workloads, such as Power BI, require large amounts of memory, while others such as Data Factory may just need small amounts of CPU for orchestrating activities. Fabric capacities remove the complexity of choosing the right type and size compute for each operation that is run by providing a single, blended compute metric called a capacity unit that is delivered through Fabric capacities, often referred to as a Fabric SKU or simply an F SKU.

Therefore, Fabric capacity is simply a pool of available resources that is shared by all the workspaces assigned to a capacity and is shared by all the workloads running in those workspaces. Based on the type of operation running, the appropriate blend of compute and memory will be allocated and torn down after the operation is complete because...

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Learn Microsoft Fabric
Published in: Feb 2024Publisher: PacktISBN-13: 9781835082287

Authors (2)

author image
Arshad Ali

Arshad Ali is a principal product manager at Microsoft, working on the Microsoft Fabric product team in Redmond, WA. He focuses on Spark Runtime, which empowers both data engineering and data science experiences. In his previous role, he helped strategic customers and partners adopt Azure Synapse and Microsoft Fabric. Arshad has more than 20 years of industry experience and has been with Microsoft for over 16 years. He is the co-author of the book Big Data Analytics with Azure HDInsight and the author of over 200 technical articles and blogs on data and analytics. Arshad holds an MBA from the Foster School of Business at the University of Washington and an MCA from India.
Read more about Arshad Ali

author image
Bradley Schacht

Bradley Schacht is a principal program manager on the Microsoft Fabric product team based in Saint Augustine, Florida. Bradley is a former consultant and trainer and has co-authored five books on SQL Server and Power BI. As a member of the Microsoft Fabric product team, Bradley works directly with customers to solve some of their most complex data problems and helps shape the future of Microsoft Fabric. Bradley gives back to the community by speaking at events, such as the PASS Summit, SQL Saturday, Code Camp, and user groups across the country, including locally at the Jacksonville SQL Server User Group (JSSUG). He is a contributor on SQLServerCentral and blogs on his personal site, BradleySchacht.
Read more about Bradley Schacht