Beginning Azure Synapse Analytics: Transition from Data Warehouse to Data Lakehouse
暫譯: Azure Synapse Analytics 入門：從數據倉庫過渡到數據湖屋

Shiyal, Bhadresh

Beginning Azure Synapse Analytics: Transition from Data Warehouse to Data Lakehouse
  • 出版商: Apress
  • 出版日期: 2021-06-17
  • 售價: $2,520
  • 貴賓價: 9.5 折 $2,394
  • 語言: 英文
  • 頁數: 249
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1484270606
  • ISBN-13: 9781484270608
  • 相關分類: Microsoft Azure

    • 海外代購書籍(需單獨結帳)

商品描述

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

商品描述(中文翻譯)

開始使用 Azure Synapse Analytics，微軟的現代數據分析平台。本書涵蓋了核心組件，如 Synapse SQL、Synapse Spark、Synapse Pipelines 等，並介紹它們的架構和實作。

本書首先介紹核心數據和分析概念，接著了解傳統/舊式數據倉庫、現代數據倉庫以及最現代的數據湖屋（data lakehouse）。您將了解 Azure Synapse Analytics 的介紹和背景，以及其主要特性和關鍵服務能力。核心架構將被討論，並介紹 Synapse SQL。您將學習其主要特性，以及如何創建專用的 Synapse SQL 池，並使用無伺服器的 Synapse SQL 池分析您的大數據。您還將學習 Synapse Spark 和 Synapse Pipelines，並附有範例。接著，您將學習 Synapse Workspace 和 Synapse Studio，然後是 Synapse Link 及其特性。您將了解 Azure Synapse 的使用案例，並理解 Synapse Analytics 的參考架構。

閱讀完本書後，您將能夠使用 Azure Synapse Analytics，並理解其架構、主要組件、特性和能力。

您將學到的內容：
- 理解核心數據和分析概念以及數據湖屋概念
- 熟悉整體 Azure Synapse 架構及其主要組件
- 熟悉 Synapse SQL 和 Synapse Spark 的架構組件
- 使用整合的 Apache Spark（即 Synapse Spark）和 Synapse SQL 引擎
- 理解 Synapse Workspace、Synapse Studio 和 Synapse Pipeline
- 研究參考架構和使用案例

本書適合對象：
Azure 數據分析師、數據工程師、數據科學家和解決方案架構師

作者簡介

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.


作者簡介(中文翻譯)

**Bhadresh Shiyal** 是一位 Azure 數據架構師和 Azure 數據工程師。在過去七年中，他在一家大型跨國 IT 公司擔任解決方案架構師。在此之前，他在印度的私營和公共部門銀行工作了近十年，擔任各種 IT 職位，專注於各種 Microsoft 技術。他擁有 18 年的 IT 經驗，包括在倫敦的國際任務中工作兩年。他在應用程式設計、開發和部署方面擁有豐富的經驗。

他曾使用多種技術，包括 Visual Basic、SQL Server、SharePoint 技術、.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 等等。

他擁有多項 Azure 認證，包括 Microsoft Certified Azure Solutions Architect Expert、Microsoft Certified Azure Data Engineer Associate、Microsoft Certified Azure Data Scientist Associate 和 Microsoft Certified Azure Data Analyst Associate。

Bhadresh 曾擔任大型 Azure Data Lake 實施項目的解決方案架構師，並參與數據轉換項目以及大型定制內容管理系統的開發。他在撰寫本書之前，還擔任過書籍 *Data Science using Azure* 的技術審稿人。

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