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001 21172
003 OSt
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008 240401t20232023caua 001 0 eng d
020 _a1098138791
_q(paperback)
020 _a9781098138790
_q(paperback)
040 _aYDX
_beng
_erda
_cYDX
_dSFR
_dOCLCO
_dCDX
_dJRZ
_dOCLCF
_dDLC
_dIQ-MoCLU
082 0 4 _a004/.33
_223
_bN375
100 1 _aNeedham, Mark
_c(Co-author of Graph algorithms),
_eauthor.
245 1 0 _aBuilding real-time analytics systems :
_bfrom events to insights with Apache Kafka and Apache Pinot /
_cMark Needham ; foreword by Gunnar Morling.
250 _aFirst edition.
264 1 _aSebastopol, CA :
_bO'Reilly Media, Inc.,
_c2023.
264 4 _c©2023
300 _axiv, 203 pages :
_billustrations ;
_c24 cm
336 _atext
_btxt
_2rdacontent
337 _aunmediated
_bn
_2rdamedia
338 _avolume
_bnc
_2rdacarrier
500 _aIncludes index.
505 0 _aIntroduction to real-time analytics -- The real-time analytics ecosystem -- Introducing all about that dough: real-time analytics on pizza -- Querying Kafka with Kafka streams -- The serving layer: Apache Pinot -- Building a real-time analytics dashboard -- Product changes captured with change data capture -- Joining streams with Kafka streams -- Upserts in the serving layer -- Geospatial querying -- Production considerations -- Real-time analytics in the real world -- The future of real-time analytics.
520 _a"Gain deep insight into real-time analytics, including the features of these systems and the problems they solve. With this practical book, data engineers at organizations that use event-processing systems such as Kafka, Google Pub/Sub, and AWS Kinesis will learn how to analyze data streams in real time. The faster you derive insights, the quicker you can spot changes in your business and act accordingly. Author Mark Needham from StarTree provides an overview of the real-time analytics space and an understanding of what goes into building real-time applications. The book's second part offers a series of hands-on tutorials that show you how to combine multiple software products to build real-time analytics applications for an imaginary pizza delivery service. You will: Learn common architectures for real-time analytics Discover how event processing differs from real-time analytics Ingest event data from Apache Kafka into Apache Pinot Combine event streams with OLTP data using Debezium and Kafka Streams Write real-time queries against event data stored in Apache Pinot Build a real-time dashboard and order tracking app Learn how Uber, Stripe, and Just Eat use real-time analytics"--
630 0 0 _aApache Kafka (Electronic resource)
630 0 0 _aApache Pinot (Electronic resource)
630 0 0 _aApache (Computer file : Apache Group)
630 0 7 _aApache (Computer file : Apache Group)
_2fast
650 0 _aReal-time data processing.
650 6 _aTemps réel (Informatique)
650 7 _aReal-time data processing.
_2fast
700 1 _aMorling, Gunnar,
_ewriter of foreword.
910 _aSAJA
942 _2ddc
_cBK
999 _c21172
_d21172