Category: Stream Processing

Announcing ksqlDB 0.7.0

Posted on February 14, 2020 by Vicky Papavasileiou

We are pleased to announce the release of ksqlDB 0.7.0. This release features highly available state, security enhancements for queries,

Seamless SIEM – Part 2: Anomaly Detection with Machine Learning and ksqlDB

Posted on February 13, 2020 by Hubert Dulay

We talked about how easy it is to send osquery logs to the Confluent Platform in part 1. Now, we’ll

Integrating Elasticsearch and ksqlDB for Powerful Data Enrichment and Analytics

Posted on February 12, 2020 by Sarwar Bhuiyan

Apache Kafka® is often deployed alongside Elasticsearch to perform log exploration, metrics monitoring and alerting, data visualisation, and analytics. It

Building a Materialized Cache with ksqlDB

Posted on February 6, 2020 by Michael Drogalis

When a company becomes overreliant on a centralized database, a world of bad things start to happen. Queries become slow,

Streaming Machine Learning with Tiered Storage and Without a Data Lake

Posted on January 28, 2020 by Kai Waehner

The combination of streaming machine learning (ML) and Confluent Tiered Storage enables you to build one scalable, reliable, but also

Streams and Tables in Apache Kafka: Elasticity, Fault Tolerance, and Other Advanced Concepts

Posted on January 16, 2020 by Michael Noll

Now that we’ve learned about the processing layer of Apache Kafka® by looking at streams and tables, as well as

Streams and Tables in Apache Kafka: Processing Fundamentals with Kafka Streams and ksqlDB

Posted on January 15, 2020 by Michael Noll

Part 2 of this series discussed in detail the storage layer of Apache Kafka: topics, partitions, and brokers, along with

Streams and Tables in Apache Kafka: Topics, Partitions, and Storage Fundamentals

Posted on January 14, 2020 by Michael Noll

Part 1 of this series discussed the basic elements of an event streaming platform: events, streams, and tables. We also

Streams and Tables in Apache Kafka: A Primer

Posted on January 13, 2020 by Michael Noll

This four-part series explores the core fundamentals of Kafka’s storage and processing layers and how they interrelate. In this first

Plumbing At Scale

Posted on January 6, 2020 by admin

When you open the Grab app and hit book, a series of events are generated that define your personalised experience