Kafka: The Definitive Guide: Real-Time Data and Stream Processing at Scale
Overview & Synopsis
Every enterprise application creates data, whether it consists of log messages, metrics, user activity, or outgoing messages. Moving all this data is just as important as the data itself. With this updated edition, application architects, developers, and production engineers new to the Apache Kafka streaming platform will learn how to handle data in motion. Additional chapters cover Kafka's AdminClient API, transactions, new security features, and tooling changes.
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Document Information
| Document Title | Kafka: The Definitive Guide: Real-Time Data and Stream Processing at Scale |
|---|---|
| Author / Organization | Gwen Shapira, Todd Palino, Rajini Sivaram, Krit Petty |
| 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 | 2021 |
| ISBN | 978-1492043089 |
| Resource Verification | ✓ Verified Direct PDF Available |
| Alternative Mirrors & Links | |
| Original Host Website |
FreeComputerBooks.com
(freecomputerbooks.com)
|
| File Format | application/pdf (Portable Document Format) |
| Reported File Size | 6378.7 KB (6,531,776 bytes) |
| Language | ENGLISH |
| Catalog ID | DOC-261510 |
| Original Source Link | Visit Source Page on freecomputerbooks.com » |
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