Kafka のコストを 25% 以上削減 | Confluent コスト削減チャレンジに参加
Author: David Araujo
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 […]