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Get started with Azure Synapse Analytics, Microsoft's modern data
analytics platform. This book covers core components such as
Synapse SQL, Synapse Spark, Synapse Pipelines, and many more, along
with their architecture and implementation. The book begins with an
introduction to core data and analytics concepts followed by an
understanding of traditional/legacy data warehouse, modern data
warehouse, and the most modern data lakehouse. You will go through
the introduction and background of Azure Synapse Analytics along
with its main features and key service capabilities. Core
architecture is discussed, along with Synapse SQL. You will learn
its main features and how to create a dedicated Synapse SQL pool
and analyze your big data using Serverless Synapse SQL Pool. You
also will learn Synapse Spark and Synapse Pipelines, with examples.
And you will learn Synapse Workspace and Synapse Studio followed by
Synapse Link and its features. You will go through use cases in
Azure Synapse and understand the reference architecture for Synapse
Analytics. After reading this book, you will be able to work with
Azure Synapse Analytics and understand its architecture, main
components, features, and capabilities. What You Will Learn
Understand core data and analytics concepts and data lakehouse
concepts Be familiar with overall Azure Synapse architecture and
its main components Be familiar with Synapse SQL and Synapse Spark
architecture components Work with integrated Apache Spark (aka
Synapse Spark) and Synapse SQL engines Understand Synapse
Workspace, Synapse Studio, and Synapse Pipeline Study reference
architecture and use cases Who This Book Is For Azure data
analysts, data engineers, data scientists, and solutions architects
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