01730nam a22002777a 450000500170000000800410001702000180005804000130007608200170008924501070010626000370021330000170025050000180026752008260028554600080111165000430111965000270116270000290118970000260121870000280124470000320127270000260130494200070133099900190133795200960135620260724163646.0260724s2026    |||||||| |||| 00| 0 eng d  a9781633436374  cPK-LaUMT  a005.74bDAT-  aData pipelines with Apache Airflow :borchestration for data and AI /cJulian de Ruiter . . . [et al.]  aShelter Island :bManning,c2026  axxvi, 484 p.  aIndex present  a"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  aEng  aApache Air flow (computer file)914218  aData management9142191 aRuiter, Julian de9142201 aCabral, Ismael9142211 aGeusebroek, Kris9142221 aEnde, Daniel van der9142231 aHarenslak, Bas914224  cBK  c141661d141661  00104070a01b01d2026-07-24l0o005.74 DAT-p153532r2026-07-24 16:36:57w2026-07-24yBK