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Kafka Streams
Analysing Changes with Debezium and Kafka Streams
Change Data Capture (CDC) is an excellent way to introduce streaming analytics into your existing database, and using Debezium enables you to send your change data through Apache Kafka®. Although […]
Improved Robustness and Usability of Exactly-Once Semantics in Apache Kafka
This blog post talks about the recent improvements on exactly-once semantics (EOS) to make it simpler to use and more resilient. EOS was first released in Apache Kafka® 0.11 and […]
Track Transportation Assets in Real Time with Apache Kafka and Kafka Streams
Apache Kafka® is a distributed commit log, commonly used as a multi-tenant data hub to connect diverse source systems and sink systems. Source systems can be systems or records, operational […]
Kafka Streams Interactive Queries Go Prime Time
What is stopping you from using Kafka Streams as your data layer for building applications? After all, it comes with fast, embedded RocksDB storage, takes care of redundancy for you, […]
From Eager to Smarter in Apache Kafka Consumer Rebalances
Everyone wants their infrastructure to be highly available, and ksqlDB is no different. But crucial properties like high availability don’t come without a thoughtful, rigorous design. We thought hard about […]
Walmart’s Real-Time Inventory System Powered by Apache Kafka
Consumer shopping patterns have changed drastically in the last few years. Shopping in a physical store is no longer the only way. Retail shopping experiences have evolved to include multiple […]
What’s New in Apache Kafka 2.5
On behalf of the Apache Kafka® community, it is my pleasure to announce the release of Apache Kafka 2.5.0. The community has created another exciting release. We are making progress […]
Preventing Fraud and Fighting Account Takeovers with Kafka Streams
Many companies have recently started to take cybersecurity and data protection even more seriously, particularly driven by the recent General Data Protection Regulation (GDPR) legislation. They are increasing their investment […]
Sharpening your Stream Processing Skills with Kafka Tutorials
Event stream processing solves many business challenges, from big data ingestion and data integration, to real-time data processing and IoT. It gives you the ability to analyze big data streams […]
Turning Data at REST into Data in Motion with Kafka Streams
The world is changing fast, and keeping up can be hard. Companies must evolve their IT to stay modern, providing services that are more and more sophisticated to their customers. […]
Streams and Tables in Apache Kafka: Elasticity, Fault Tolerance, and Other Advanced Concepts
Now that we’ve learned about the processing layer of Apache Kafka® by looking at streams and tables, as well as the architecture of distributed processing with the Kafka Streams API […]
Streams and Tables in Apache Kafka: Processing Fundamentals with Kafka Streams and ksqlDB
Part 2 of this series discussed in detail the storage layer of Apache Kafka: topics, partitions, and brokers, along with storage formats and event partitioning. Now that we have this […]
Streams and Tables in Apache Kafka: A Primer
This four-part series explores the core fundamentals of Kafka’s storage and processing layers and how they interrelate. In this first part, we begin with an overview of events, streams, tables, […]
Testing Kafka Streams Using TestInputTopic and TestOutputTopic
As a test class that allows you to test Kafka Streams logic, TopologyTestDriver is a lot faster than utilizing EmbeddedSingleNodeKafkaCluster and makes it possible to simulate different timing scenarios. Not […]