Beginning Azure synapse analytics : transition from data warehouse to data lakehouse / Bhadresh Shiyal.
2021
QA76.9.D37
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Details
Title
Beginning Azure synapse analytics : transition from data warehouse to data lakehouse / Bhadresh Shiyal.
Author
Shiyal, Bhadresh.
ISBN
9781484270615 (electronic bk.)
1484270614 (electronic bk.)
1484270606
9781484270608
1484270614 (electronic bk.)
1484270606
9781484270608
Publication Details
[Place of publication not identified] : Apress, 2021.
Language
English
Description
1 online resource
Item Number
10.1007/978-1-4842-7061-5 doi
Call Number
QA76.9.D37
Dewey Decimal Classification
005.74/5
Summary
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. You will: 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.
Note
Includes index.
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Source of Description
Online resource; title from PDF title page (SpringerLink, viewed July 1, 2021).
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Print version: 9781484270608
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Table of Contents
Chapter 1: Core Data and Analytics Concepts
Chapter 2: Modern Data Warehouses and Data Lakehouses
Chapter 3: Introduction to Azure Synapse Analytics
Chapter 4: Architecture and its Main Components
Chapter 5: Synapse SQL
Chapter 6: Synapse Spark
Chapter 7: Synapse Pipelines
Chapter 8: Synapse Workspace and Studio
Chapter 9: Synapse Link
Chapter 10: Azure Synapse Analytics Use Cases and Reference Architecture.
Chapter 2: Modern Data Warehouses and Data Lakehouses
Chapter 3: Introduction to Azure Synapse Analytics
Chapter 4: Architecture and its Main Components
Chapter 5: Synapse SQL
Chapter 6: Synapse Spark
Chapter 7: Synapse Pipelines
Chapter 8: Synapse Workspace and Studio
Chapter 9: Synapse Link
Chapter 10: Azure Synapse Analytics Use Cases and Reference Architecture.