Kafka: The Definitive Guide By Gwen Shapira

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size

17.78 x 2.54 x 22.86 cm

Product Information

Brand Name

Books Kingdom

Ideal For

General Readers, Fiction Lovers, Mythology & Historical Fiction Readers, Indian Mythology Enthusiasts, Young Adults (YA) & Adults, College Students, Competitive Exam Aspirants (General Reading / Culture), Gift Purpose (Books Gift Set), Spiritual & Philosophy Interest Readers, Library / Book Collection Buyers

Material

Hardcover

Country Of Origin

India

Pack Of

About Author

Gwen Shapira Is A System Architect At Confluent Helping Customers Achieve Success With Their Apache Kafka Implementation. She Has 15 Years Of Experience Working With Code And Customers To Build Scalable Data Architectures, Integrating Relational And Big Data Technologies. She Currently Specializes In Building Real-Time Reliable Data Processing Pipelines Using Apache Kafka. Gwen Is An Oracle Ace Director, An Author Of "Hadoop Application Architectures", And A Frequent Presenter At Data Driven Conferences. Gwen Is Also A Committer On The Apache Kafka And Apache Sqoop Projects.

Author Name

Gwen Shapira

Genre

Programming & Software Development

No Of Pages

485

Publisher

O'Reilly Media, O'Reilly Media

Product Description

Premium Quality: This updated hardcover edition spans 485 pages and serves as a comprehensive, authoritative reference on the Apache Kafka streaming platform.

Product Design: Every enterprise application creates data, whether it consists of log messages, metrics, user activity, or outgoing messages - and moving all this data is just as important as the data itself.

User Experience: Application architects, developers, and production engineers new to the Kafka streaming platform will learn how to handle data in motion.

Versatile Occasion: Additional chapters cover Kafka's AdminClient API, transactions, new security features, and tooling changes, ensuring the content reflects the latest developments in the platform.

Ideal For: Designed for software professionals across experience levels who work with real-time data pipelines, distributed systems, and enterprise application architecture.

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