000			01822nam a22001938i 4500
999			_c36733 _d36733
001			018395583
020			_a9781491944240
040			_aUOWD
082	0	4	_a006.7876 GA ST
100	1		_aGarillot, Francois _931943
245	1	0	_aStrean processing with apache spark _cFrancois Garillot, Gerald Maas
260			_aBeijing : _bO'Reilly, _cc2019.
300			_axxiii, 424 p. : _bill. ; _c24 cm.
520			_aBefore you can build analytics tools to gain quick insights, you first need to know how to process data in real time. With this practical guide, developers familiar with Apache Spark will learn how to put this in-memory framework to use for streaming data. You'll discover how Spark enables you to write streaming jobs in almost the same way you write batch jobs. Authors Gerard Maas and Francois Garillot help you explore the theoretical underpinnings of Apache Spark. This comprehensive guide features two sections that compare and contrast the streaming APIs Spark now supports: the original Spark Streaming library and the newer Structured Streaming API. Learn fundamental stream processing concepts and examine different streaming architectures Explore Structured Streaming through practical examples; learn different aspects of stream processing in detail Create and operate streaming jobs and applications with Spark Streaming; integrate Spark Streaming with other Spark APIs Learn advanced Spark Streaming techniques, including approximation algorithms and machine learning algorithms Compare Apache Spark to other stream processing projects, including Apache Storm, Apache Flink, and Apache Kafka Streams
650		0	_aStreaming technology (Telecommunications) _9897
700			_aMass, Gerard _934507
856			_uhttps://uowd.box.com/s/wua39222hn4dlnwq4gmkwimjlfpu6j0g _zLocation Map
942			_2ddc _cREGULAR