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: Data Engineering with Alteryx
    sub title: Helping Data Engineers Apply DataOps Practices with Alteryx
  name:
    name part: Houghton, Paul.
    role:
      role term: creator
  type of resource: text
  genre: Software.
  origin info:
    place:
      place term: enk
    place:
      place term: Birmingham
    publisher: Packt Publishing, Limited
    date issued: 2022
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (366 pages)
  abstract: Build and deploy data pipelines with Alteryx by applying practical DataOps principles Key Features Learn DataOps principles to build data pipelines with Alteryx Build robust data pipelines with Alteryx Designer Use Alteryx Server and Alteryx Connect to share and deploy your data pipelines Book Description Alteryx is a GUI-based development platform for data analytic applications. Data Engineering with Alteryx will help you leverage Alteryx's code-free aspects which increase development speed while still enabling you to make the most of the code-based skills you have. This book will teach you the principles of DataOps and how they can be used with the Alteryx software stack. You'll build data pipelines with Alteryx Designer and incorporate the error handling and data validation needed for reliable datasets. Next, you'll take the data pipeline from raw data, transform it into a robust dataset, and publish it to Alteryx Server following a continuous integration process. By the end of this Alteryx book, you'll be able to build systems for validating datasets, monitoring workflow performance, managing access, and promoting the use of your data sources. What you will learn Build a working pipeline to integrate an external data source Develop monitoring processes for the pipeline example Understand and apply DataOps principles to an Alteryx data pipeline Gain skills for data engineering with the Alteryx software stack Work with spatial analytics and machine learning techniques in an Alteryx workflow Explore Alteryx workflow deployment strategies using metadata validation and continuous integration Organize content on Alteryx Server and secure user access Who this book is for If you're a data engineer, data scientist, or data analyst who wants to set up a reliable process for developing data pipelines using Alteryx, this book is for you. You'll also find this book useful if you are trying to make the development and deployment of datasets more robust by following the DataOp…
  note: Paul Houghton.
  subject:
    topic: Database management
    genre: Software
  subject:
    topic: Information resources management
    topic: Data processing
  subject:
    topic: Database management
  subject:
    topic: Information resources management
    topic: Data processing
  classification: QA76.9.D3
  classification: 005.74
  related item:
    title info:
      title: Data Engineering with Alteryx
    name:
      name part: Houghton, Paul.
    origin info:
      publisher: Birmingham : Packt Publishing, Limited, ©2022
  identifier: 180323198X
  identifier: 9781803231983
  identifier: 9781803236483
  identifier: 9781803236483 O'Reilly Media
  identifier: https://proxy.library.tamu.edu/login
  record info:
    record content source: EBLCP
    record creation date: 220625
    record change date: 20260123224304.7
    record identifier: in00004671285
    language of cataloging:
      language term: eng