In this article, author Paul Brebner discusses the best practices for developing IoT projects using Apache Kafka and Kafka Streams technologies and how to maximize Kafka scalability.

Spark and Kafka are involved in processing, analyzing and transporting this data. As steaming applications, data science and machine learning have taken off, so have Spark and Kafka.

The Apache Kafka phenomenon reached a new high today when Confluent announced a $50 million investment from the venture capital firm Sequoia. The investment signals renewed confidence that Kafka is ...

The Uber Engineering team released their Kafka auditing tool called Chaperone as an open-source project. Chaperone allows for auditing and detection of data loss, latency, and duplication of messages ...

Kafka has been available as an open-source product since 2011, so it’s been free to download, install and build applications, but still required a ton of compute and engineering resources to ...

Meroxa’s change data capture service works with Apache Kafka, others. Michael Vizard @mvizard. April 19, 2021 ... But people with data engineering skills are now among the most sought-after IT ...

Data startup Confluent has Silicon Valley buzzing about its Apache Kafka software. Here's 3 reasons why its cofounders were able to successfully incubate their idea while at LinkedIn.

Straight-talk from Confluent leaders on tackling cloud-native Kafka challenges, driving generative AI with data streaming, and revolutionizing real-time insights. Subscribe 0 ...

Kafka channels the big data firehose The challenge is refining the tooling and raising the game on security beyond basic authentication. Written by Tony Baer (dbInsight), Contributor April 20 ...

The release of Kafka 0.9, its commercial counterpart Confluent Platform 2.0, and new distro component MapR Streams, bring prominence and maturity to streaming data processing in the Hadoop ecosystem.