| 000 | 01622nam a22002657a 4500 | ||
|---|---|---|---|
| 005 | 20260724163646.0 | ||
| 008 | 260724s2026 |||||||| |||| 00| 0 eng d | ||
| 020 | _a9781633436374 | ||
| 040 | _cPK-LaUMT | ||
| 082 |
_a005.74 _bDAT- |
||
| 245 |
_aData pipelines with Apache Airflow : _borchestration for data and AI / _cJulian de Ruiter . . . [et al.] |
||
| 260 |
_aShelter Island : _bManning, _c2026 |
||
| 300 | _axxvi, 484 p. | ||
| 500 | _aIndex present | ||
| 520 | _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 | ||
| 546 | _aEng | ||
| 650 |
_aApache Air flow (computer file) _914218 |
||
| 650 |
_aData management _914219 |
||
| 700 | 1 |
_aRuiter, Julian de _914220 |
|
| 700 | 1 |
_aCabral, Ismael _914221 |
|
| 700 | 1 |
_aGeusebroek, Kris _914222 |
|
| 700 | 1 |
_aEnde, Daniel van der _914223 |
|
| 700 | 1 |
_aHarenslak, Bas _914224 |
|
| 942 | _cBK | ||
| 999 |
_c141661 _d141661 |
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