Tables

When operating cloud infrastructure, “time is money” is more than a cliché—it is interpreted literally as every processing second stacks up on the monthly bill. ksqlDB strives to reduce these […]

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 […]

If you’re like me, you may be accustomed to reading articles about event streaming that are framed by large organizations and mountains of data. We’ve read about how the event […]

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 […]

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 […]

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 […]

Part 1 of this series discussed the basic elements of an event streaming platform: events, streams, and tables. We also introduced the stream-table duality and learned why it is a […]

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, […]

We are happy to announce that our paper Streams and Tables: Two Sides of the Same Coin is published and available for free download. The paper was presented at the […]