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: Understanding Azure Data Factory
    sub title: Operationalizing Big Data and Advanced Analytics Solutions
  name:
    name part: Rawat, Sudhir.
    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: Narain, Abhishek.
    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: XI, 368 p. 376 illus. online resource.
  abstract: Improve your analytics and data platform to solve major challenges, including operationalizing big data and advanced analytics workloads on Azure. You will learn how to monitor complex pipelines, set alerts, and extend your organization's custom monitoring requirements. This book starts with an overview of the Azure Data Factory as a hybrid ETL/ELT orchestration service on Azure. The book then dives into data movement and the connectivity capability of Azure Data Factory. You will learn about the support for hybrid data integration from disparate sources such as on-premise, cloud, or from SaaS applications. Detailed guidance is provided on how to transform data and on control flow. Demonstration of operationalizing the pipelines and ETL with SSIS is included. You will know how to leverage Azure Data Factory to run existing SSIS packages. As you advance through the book, you will wrap up by learning how to create a single pane for end-to-end monitoring, which is a key skill in building advanced analytics and big data pipelines. What You'll Learn: Understand data integration on Azure cloud Build and operationalize an ADF pipeline Modernize a data warehouse Be aware of performance and security considerations while moving data .
  table of contents: Chapter 1: Introduction to Data Analytics -- Chapter 2: Introduction to Azure Data Factory -- Chapter 3: Data Movement -- Chapter 4: Data Transformation-I -- Chapter 5: Data Transformation-II -- Chapter 6: Monitoring -- Chapter 7: Security -- Chapter 8: Executing SSIS Packages.
  note: by Sudhir Rawat, Abhishek Narain.
  subject:
    topic: Microsoft software
  subject:
    topic: Microsoft .NET Framework
  subject:
    topic: Application software
  subject:
    topic: Computer communication systems
  subject:
    topic: Microsoft and .NET
  subject:
    topic: Computer Applications
  subject:
    topic: Computer Communication Networks
  classification: QA76.76.M52
  classification: 004.165
  related item:
    title info:
      title: Springer eBooks
  identifier: 9781484241226
  identifier: https://doi.org/10.1007/978-1-4842-4122-6
  record info:
    record creation date: 181218
    record change date: 20191023141703.0
    record identifier: 978-1-4842-4122-6