01622nam a22002657a 4500 20260724163646.0 260724s2026 |||||||| |||| 00| 0 eng d 9781633436374 PK-LaUMT 005.74 DAT- Data pipelines with Apache Airflow : orchestration for data and AI / Julian de Ruiter . . . [et al.] Shelter Island : Manning, 2026 xxvi, 484 p. Index present "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 Eng Apache Air flow (computer file) 14218 Data management 14219 Ruiter, Julian de 14220 Cabral, Ismael 14221 Geusebroek, Kris 14222 Ende, Daniel van der 14223 Harenslak, Bas 14224 BK 141661 141661 0 0 0 0 01 01 2026-07-24 0 005.74 DAT- 153532 2026-07-24 16:36:57 2026-07-24 BK