rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: SQL Server Big Data Clusters
    sub title: Early First Edition Based on Release Candidate 1
  name:
    name part: Weissman, Benjamin.
    role:
      role term: creator
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: van de Laar, Enrico.
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2019
    edition: 1st ed. 2019.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XV, 246 p. 189 illus. online resource.
  abstract: 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…
  table of contents: 1. What Are Big Data Clusters? -- 2. Big Data Cluster Architecture -- 3. Installation, Deployment, and Management of Big Data Clusters -- 4. Loading Data into Big Data Clusters -- 5. Querying Big Data Clusters through T-SQL -- 6. Working with Spark in Big Data Clusters -- 7. Machine Learning on Big Data Clusters -- 8. Create and Consume Big Data Cluster Apps.
  note: by Benjamin Weissman, Enrico van de Laar.
  subject:
    topic: Database management
  subject:
    topic: Microsoft software
  subject:
    topic: Microsoft .NET Framework
  subject:
    topic: Big data
  subject:
    topic: Database Management
  subject:
    topic: Microsoft and .NET
  subject:
    topic: Big Data
  classification: QA76.9.D3
  classification: 005.74
  related item:
    title info:
      title: Springer eBooks
  identifier: 9781484251102
  identifier: https://doi.org/10.1007/978-1-4842-5110-2
  record info:
    record creation date: 191126
    record change date: 20191127142428.0
    record identifier: 978-1-4842-5110-2