Opening book details…
Can I read Introduction to Apache Flink : Stream Processing for Real Time and Beyond on EtoBox?
Introduction to Apache Flink : Stream Processing for Real Time and Beyond by Friedman, B. Ellen, author; Tzoumas, Kostas, author is a computer science book available to read on EtoBox.
What is Introduction to Apache Flink : Stream Processing for Real Time and Beyond about?
<p>There's growing interest in learning how to analyze streaming data in large-scale systems such as web traffic, financial transactions, machine logs, industrial sensors, and many others. But analyzing data streams at scale has been difficult to do well--until now. This practical book delivers a deep introduction to Apache Flink, a highly innovative open source stream processor with a surprising range of capabilities.</p> <p>Authors Ellen Friedman and Kostas Tzoumas show technical and nontechni
Who reads Introduction to Apache Flink : Stream Processing for Real Time and Beyond?
It is typically read by working professionals who need an authoritative practice reference.
Common subject areas: medicine, law, business, engineering.
- Author
- Friedman, B. Ellen, author; Tzoumas, Kostas, author
- Publisher
- O'Reilly Media, Incorporated; O'Reilly Media, Inc.
- Published
- 2016
- Language
- EN
- ISBN
- 9781491976586
- Category
- computer science
- Subjects
- Science, Technology, Management
- Updated
- 2026-03-25
More by Friedman, B. Ellen, author; Tzoumas, Kostas, author
Browse all works by Friedman, B. Ellen, author; Tzoumas, Kostas, author
Similar books
- Stream Processing with Apache Flink — Fabian Hueske (2019)
- Apache Spark 2 : Data Processing and Real-Time Analytics : Master complex big data processing, stream analytics, and machine learning with Apache Spark — Romeo Kienzler, Md. Rezaul Karim, Sridhar Alla, Siamak Amirghodsi, Meenakshi Rajendran, Broderick Hall, Shuen Mei (2018)
- Hands-on Guide to Apache Spark 3: Build Scalable Computing Engines for Batch and Stream Data Processing — Alfonso Antolínez García (2023)
- Storm Applied : Strategies for Real-time Event Processing — Matthew Jankowski; Peter Pathirana; Sean Allen (2015)
- Stream Analytics with Microsoft Azure : Real-time Data Processing for Quick Insights Using Azure Stream Analytics — Anindita Basak, Krishna Venkataraman, Ryan Murphy, Manpreet Singh (2017)
- Stream Processing - Hands-on with Apache Flink — Giannis Polyzos (2023)