SQL Server Big Data Clusters: Data Virtualization, Data Lake, and AI Platform (SQL Server 大數據叢集：數據虛擬化、數據湖與人工智慧平台)

Weissman, Benjamin, Van De Laar, Enrico

SQL Server Big Data Clusters: Data Virtualization, Data Lake, and AI Platform
  • 出版商: Apress
  • 出版日期: 2020-05-24
  • 定價: $1,650
  • 售價: 8.0 折 $1,320
  • 語言: 英文
  • 頁數: 268
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 148425984X
  • ISBN-13: 9781484259849
  • 相關分類: MSSQL、SQL、人工智慧、大數據 Big-data

    • 立即出貨 (庫存 < 3)

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商品描述

Use this guide to one of SQL Server 2019's most impactful features--Big Data Clusters. You will learn about data virtualization and data lakes for this complete artificial intelligence (AI) and machine learning (ML) platform within the SQL Server database engine. You will know how to use Big Data Clusters to combine large volumes of streaming data for analysis along with data stored in a traditional database. For example, you can stream large volumes of data from Apache Spark in real time while executing Transact-SQL queries to bring in relevant additional data from your corporate, SQL Server database.
Filled with clear examples and use cases, this book provides everything necessary to get started working with Big Data Clusters in SQL Server 2019. You will learn about the architectural foundations that are made up from Kubernetes, Spark, HDFS, and SQL Server on Linux. You then are shown how to configure and deploy Big Data Clusters in on-premises environments or in the cloud. Next, you are taught about querying. You will learn to write queries in Transact-SQL--taking advantage of skills you have honed for years--and with those queries you will be able to examine and analyze data from a wide variety of sources such as Apache Spark.
Through the theoretical foundation provided in this book and easy-to-follow example scripts and notebooks, you will be ready to use and unveil the full potential of SQL Server 2019: combining different types of data spread across widely disparate sources into a single view that is useful for business intelligence and machine learning analysis.

What You Will Learn

  • Install, manage, and troubleshoot Big Data Clusters in cloud or on-premise environments
  • Analyze large volumes of data directly from SQL Server and/or Apache Spark
  • Manage data stored in HDFS from SQL Server as if it were relational data
  • Implement advanced analytics solutions through machine learning and AI
  • Expose different data sources as a single logical source using data virtualization


Who This Book Is For

Data engineers, data scientists, data architects, and database administrators who want to employ data virtualization and big data analytics in their environments

商品描述(中文翻譯)

使用這本指南來了解 SQL Server 2019 最具影響力的功能之一 - Big Data Clusters。您將學習有關數據虛擬化和數據湖的知識，以及如何在 SQL Server 數據庫引擎中使用這個完整的人工智能 (AI) 和機器學習 (ML) 平台。您將了解如何使用 Big Data Clusters 將大量的流式數據與傳統數據庫中存儲的數據結合進行分析。例如，您可以即時從 Apache Spark 流式傳輸大量數據，同時執行 Transact-SQL 查詢，從企業的 SQL Server 數據庫中帶入相關的附加數據。

本書充滿了清晰的示例和使用案例，提供了一切開始使用 SQL Server 2019 中的 Big Data Clusters 所需的內容。您將了解由 Kubernetes、Spark、HDFS 和 Linux 上的 SQL Server 組成的架構基礎。然後，您將學習如何在本地環境或雲端中配置和部署 Big Data Clusters。接下來，您將學習有關查詢的知識。您將學習使用 Transact-SQL 編寫查詢 - 利用多年來磨練的技能 - 並使用這些查詢來檢查和分析來自各種來源（如 Apache Spark）的數據。

通過本書提供的理論基礎和易於遵循的示例腳本和筆記本，您將準備好使用和揭示 SQL Server 2019 的全部潛力：將分散在不同來源中的不同類型的數據結合為一個對商業智能和機器學習分析有用的單一視圖。

您將學到什麼


  • 在雲端或本地環境中安裝、管理和排除 Big Data Clusters

  • 直接從 SQL Server 和/或 Apache Spark 分析大量數據

  • 將存儲在 HDFS 中的數據視為關聯數據進行管理

  • 通過機器學習和人工智能實現高級分析解決方案

  • 使用數據虛擬化將不同的數據源公開為單一的邏輯源

適合閱讀對象

數據工程師、數據科學家、數據架構師和數據庫管理員，他們希望在自己的環境中使用數據虛擬化和大數據分析。

作者簡介

​Ben Weissman is the owner and founder of Solisyon, a consulting firm based in Germany and focused on business intelligence, business analytics, and data warehousing as well as forecasting and budgeting. He is a Microsoft Data Platform MVP, the first German BimlHero, and has been working with SQL Server since SQL Server 6.5. If he is not currently working with data, Ben is probably traveling and exploring the world, running, or enjoying delicious food. You can find Ben on Twitter at @bweissman.
Enrico van de Laar has been working with data in various formats and sizes for over 15 years. He is a data and advanced analytics consultant at Dataheroes where he helps organizations get the most out of their data. He has been a Microsoft Data Platform MVP since 2014 and a frequent speaker at various data-related events all over the world. He writes about a wide variety of Microsoft data-related technologies on his blog at enricovandelaar.com. You can reach Enrico on Twitter at @evdlaar.

作者簡介(中文翻譯)

Ben Weissman是德國Solisyon咨詢公司的所有者和創始人，該公司專注於商業智能、商業分析、數據倉儲以及預測和預算。他是微軟數據平台MVP，也是第一位德國的BimlHero，從SQL Server 6.5開始就一直在使用SQL Server。如果他現在不在處理數據，Ben可能正在旅行探索世界、跑步或享受美食。您可以在Twitter上找到Ben，帳號是@bweissman。

Enrico van de Laar在過去15年中一直在處理各種格式和大小的數據。他是Dataheroes的數據和高級分析顧問，幫助組織充分利用他們的數據。他自2014年以來一直是微軟數據平台MVP，並經常在世界各地的數據相關活動上演講。他在自己的博客enricovandelaar.com上寫了很多關於微軟數據相關技術的文章。您可以在Twitter上聯繫到Enrico，帳號是@evdlaar。

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