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  <titleInfo>
    <title>Data pipelines with Apache Airflow</title>
    <subTitle>orchestration for data and AI</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Ruiter, Julian de</namePart>
  </name>
  <name type="personal">
    <namePart>Cabral, Ismael</namePart>
  </name>
  <name type="personal">
    <namePart>Geusebroek, Kris</namePart>
  </name>
  <name type="personal">
    <namePart>Ende, Daniel van der</namePart>
  </name>
  <name type="personal">
    <namePart>Harenslak, Bas</namePart>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="text">Shelter Island</placeTerm>
    </place>
    <publisher>Manning</publisher>
    <dateIssued>2026</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>xxvi, 484 p.</extent>
  </physicalDescription>
  <abstract>"Data Pipelines with Apache Airflow has empowered thousands of data engineers to build more successful data platforms. This new second edition has been fully revised for Airflow 3 with coverage of all the latest features of Apache Airflow, including the Taskflow API, deferrable operators, and Large Language Model integration. Filled with real-world scenarios and examples, you'll be carefully guided from Airflow novice to expert. Using real-world scenarios and examples, this book teaches you how to simplify and automate data pipelines, reduce operational overhead, and smoothly integrate all the technologies in your stack. Part reference and part tutorial, each technique is illustrated with engaging hands-on examples, from training machine learning models for generative AI to optimizing delivery routes"-- Amazon</abstract>
  <note type="statement of responsibility">Julian de Ruiter . . . [et al.]</note>
  <note>Index present</note>
  <note>Eng</note>
  <subject>
    <topic>Apache Air flow (computer file)</topic>
  </subject>
  <subject>
    <topic>Data management</topic>
  </subject>
  <classification authority="ddc">005.74 DAT-</classification>
  <identifier type="isbn">9781633436374</identifier>
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    <recordCreationDate encoding="marc">260724</recordCreationDate>
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