Streaming Data Pipelines with Kafka (MEAP V06)
Posted on 16 Apr 10:02 | by BaDshaH | 0 views
Streaming Data Pipelines with Kafka (MEAP V06)
English | 2024 | ISBN: 9781633437012 | 166 pages | PDF,EPUB | 5.57 MB
Deliver real-time insights into your data with a rapid, reliable streaming data pipeline.
Streaming data pipelines let you integrate data from multiple systems in real time, with instantaneously updating and processing from data source to data sink. In Streaming Data Pipelines with Kafka you'll build the kind of streaming pipelines that hold up modern data infrastructure, all with the industry-standard Apache Kafka platform.
Inside this practical guide, you'll learn how to
Serve real-time data to business departments of your organization
Understand streaming data pipeline concepts such as change data capture
Troubleshoot common challenges when building and deploying streaming data pipelines
Setup open-source connectors with Kafka Connect and develop custom connectors yourself
Implement stateless and stateful data processing with Kafka Streams
Tune pipeline performance for low-latency and high-throughput requirements
Scale pipelines both manually and automatically to cope with performance requirements
Debug and monitor streaming data pipelines in production
Decide when to use streaming data pipelines over batch pipelines
Data streaming doesn't have to be complex! Kafka Connect and Kafka Streams have made it possible for any developer to start building a data streaming pipeline without needing to fiddle with low-level APIs. This practical guide empowers you to utilize the full ecosystem of Kafka to implement your first streaming data pipelines.
about the book
Streaming Data Pipelines with Apache Kafka teaches you to build the kind of rapid, reliable data pipelines that can deliver real-time insights from your data. You'll follow along with an extended case study as Excellent Toys Corporation's data team migrates from batch processing to their very first streaming pipelines. Dive into custom connector development, extracting real-time changes from an HTTP-based Analytics API, and delve into event-driven, real-time processing with Kafka Streams. With guidance on packaging, deploying, and error handling, you'll soon be equipped to build and deploy streaming data pipelines in production environments.
about the reader
For developers and data scientists who know the basics of Java and database systems. No experience with Kafka required.
about the author
Stefan Sprenger has more than 15 years of experience in software engineering and specializes in building real-time data architectures. He has a PhD in computer science, is a frequent speaker at technical conferences, co-founded a startup in the data streaming space, and has contributed to various open-source projects.
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