Author: David Araujo
From Dumb Pipes to a Smart Data Plane: Introducing Schema IDs in Apache Kafka® Headers
Confluent’s Schema IDs in headers transform Kafka from "dumb pipes" to a "smart data plane." By moving metadata out of payloads, teams can schematize topics without breaking legacy apps or requiring big-bang migrations. This unlocks governed, AI-ready data for Flink and lakehouses with ease.
Introducing Data Portal in Stream Governance
Today, we’re excited to announce the general availability of Data Portal on Confluent Cloud. Data Portal is built on top of Stream Governance, the industry’s only fully managed data governance suite for Apache Kafka® and data streaming.
Connect, Process, and Share Trusted Data Faster Than Ever: Kora Engine, Data Quality Rules, and More
Announcing the latest updates to Confluent’s cloud-native data streaming platform: Kora Engine, Data Quality Rules, Custom Connectors, Streaming Sharing, and more.
How to Find, Share, and Organize Your Data Streams with Stream Catalog
In a modern data stack, being able to discover, understand, organize and reuse data is key to obtaining the most value from your data. These requirements have led to the […]
How to Visualize Your Apache Kafka Data the Easy Way with Stream Lineage
Understanding how data flows and is transformed across the different layers of an organization’s application and data stack is one of the most challenging governance problems companies are facing today. […]
How to Keep Bad Data Out of Apache Kafka with Stream Quality
Dealing with garbage in, garbage out (GIGO) has tormented data teams for generations. Analytics and decision making have suffered from this “garbage”. The new era of machine learning and being […]
Confluent Unlocks the Full Power of Event Streams with Stream Governance
Data governance initiatives aim to manage the availability, integrity, and security of data used across an organization. With the explosion in volume, variety, and velocity of data powering the modern […]