Making Sense of Stream Processing: The Philosophy Behind Apache Kafka
Overview & Synopsis
How can event streams help make your application more scalable, reliable, and maintainable? This book shows you how stream processing can make your data storage and processing systems more flexible and less complex. Structuring data as a stream of events isn't new, but with the advent of open source projects such as Apache Kafka and Apache Samza, stream processing is finally coming of age.
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Document Information
| Document Title | Making Sense of Stream Processing: The Philosophy Behind Apache Kafka |
|---|---|
| Author / Organization | Martin Kleppmann |
| Subject & Discipline | Data Processing, Data Analysis and Data Mining, Big Data and Data Stream, Data Science, Database Theory and Systems, Parallel, Concurrent, and Distributed Computing and Programming |
| Categories | Data Processing, Data Analysis and Data Mining |
| Publication Year | 2016 |
| Resource Verification | ✓ Verified Direct PDF Available |
| Alternative Mirrors & Links | |
| Original Host Website |
FreeComputerBooks.com
(freecomputerbooks.com)
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| File Format | application/pdf (Portable Document Format) |
| Reported File Size | 7867.2 KB (8,056,034 bytes) |
| Language | ENGLISH |
| Catalog ID | DOC-261511 |
| Original Source Link | Visit Source Page on freecomputerbooks.com » |