| 000 | 01487 a2200229 4500 | ||
|---|---|---|---|
| 020 | _a9789355420589 | ||
| 082 | _a005.71376 SHA | ||
| 100 | _aShapira, Gwen | ||
| 245 | _aKafka : the Definitive Guide Real Time Data & Stream Processing at Scale | ||
| 250 | _a2 | ||
| 260 |
_bShroff Publishers & Distributors _aMumbai _c2022 |
||
| 300 | _a457 | ||
| 520 | _aEvery 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 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. Engineers from Confluent and LinkedIn responsible for developing Kafka explain how to deploy production Kafka clusters, write reliable event-driven microservices, and build scalable stream processing applications with this platform. Through detailed examples, you'll learn Kafka's design principles, reliability guarantees, key APIs, and architecture details, including the replication protocol, the controller, and the storage layer | ||
| 650 | _aKafka | ||
| 650 | _aUser Activity | ||
| 650 | _aStreaming Platform | ||
| 650 | _aPerform Monitoring | ||
| 700 | _aPalino, Todd | ||
| 700 | _aSivaram, Rajini | ||
| 700 | _aPetty, Krit | ||
| 942 |
_cBK _2ddc |
||
| 999 |
_c45383 _d45383 |
||