Shiyal Beginning Azure Synapse Analytics

Transition from Data Warehouse to Data Lakehouse
1. Auflage 2021
ISBN: 978-1-4842-7061-5
Verlag: APRESS
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 263 Seiten, eBook

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 LearnUnderstand core data and analytics concepts and data lakehouse conceptsBe 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 enginesUnderstand Synapse Workspace, Synapse Studio, and Synapse PipelineStudy reference architecture and use casesWho This Book Is For Azure data analysts, data engineers, data scientists, and solutions architects

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Shiyal, Bhadresh

Inhaltsverzeichnis

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.

Über Autor(innen)

Bhadresh Shiyal is an Azure data architect and Azure data engineer. For the past seven years, he has been working with a large multi-national IT corporation as Solutions Architect. Prior to that, he spent almost a decade in private and public sector banks in India in various IT positions working on various Microsoft technologies. He has 18 years of IT experience, including working for two years on an international assignment from London. He has much experience in application design, development, and deployment. He has worked on various technologies, including Visual Basic, SQL Server, SharePoint Technologies, .NET MVC, O365, Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage Gen1/Gen2, Azure SQL Data Warehouse, Power BI, Spark SQL, Scala, Delta Lake, Azure Machine Learning, Azure Information Protection, Azure .NET SDK, Azure DevOps, and more.He holds multiple Azure certifications that include Microsoft Certified Azure Solutions Architect Expert, Microsoft Certified Azure Data Engineer Associate, Microsoft Certified Azure Data Scientist Associate, and Microsoft Certified Azure Data Analyst Associate.  Bhadresh has worked as Solutions Architect on a large-scale Azure Data Lake implementation project as well as on a data transformation project and on large-scale customized content management systems. He has also worked as Technical Reviewer for the book Data Science using Azure , prior to authoring this book.