SQL Server Big Data Clusters

Early First Edition Based on Release Candidate 1

  • Benjamin Weissman
  • Enrico van de Laar

Table of contents

  1. Front Matter
    Pages i-xv
  2. Benjamin Weissman, Enrico van de Laar
    Pages 1-10
  3. Benjamin Weissman, Enrico van de Laar
    Pages 11-31
  4. Benjamin Weissman, Enrico van de Laar
    Pages 33-84
  5. Benjamin Weissman, Enrico van de Laar
    Pages 85-105
  6. Benjamin Weissman, Enrico van de Laar
    Pages 107-147
  7. Benjamin Weissman, Enrico van de Laar
    Pages 149-204
  8. Benjamin Weissman, Enrico van de Laar
    Pages 205-226
  9. Benjamin Weissman, Enrico van de Laar
    Pages 227-240
  10. Back Matter
    Pages 241-246

About this book


Get a head-start on learning one of SQL Server 2019’s latest and most impactful features—Big Data Clusters—that combines large volumes of non-relational data for analysis along with data stored relationally inside a SQL Server database. This book provides a first look at Big Data Clusters based upon SQL Server 2019 Release Candidate 1. Start now and get a jump on your competition in learning this important new feature. 

Big Data Clusters is a feature set covering data virtualization, distributed computing, and relational databases and provides a complete AI platform across the entire cluster environment. This book shows you how to deploy, manage, and use Big Data Clusters. For example, you will learn how to combine data stored on the HDFS file system together with data stored inside the SQL Server instances that make up the Big Data Cluster. 

Filled with clear examples and use cases, this book provides everything necessary to get started working with Big Data Clusters in SQL Server 2019 using Release Candidate 1. 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. 

You will:
  • 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


SQL Server SQL Server 2019 Apache Spark Machine Learning Kubernetes PolyBase Linux Docker Big Data Data Virtualization Artificial Intelligence (AI) HDFS MongoDB Data lake Machine Learning

Authors and affiliations

  • Benjamin Weissman
    • 1
  • Enrico van de Laar
    • 2
  1. 1.NurnbergGermany
  2. 2.DrachtenThe Netherlands

Bibliographic information