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Data Governance
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 […]
Powering Microservices at SEI Investments with Event Streaming
We launched a transformation initiative three years ago that transitioned SEI Investments from a monolithic database-oriented architecture to a containerized services platform with an event-driven architecture based on Confluent Platform. […]
Use Cases and Architectures for HTTP and REST APIs with Apache Kafka
This blog post presents the use cases and architectures of REST APIs and Confluent REST Proxy, and explores a new management API and improved integrations into Confluent Server and Confluent […]
Schema Validation with Confluent Platform 5.4
Robust data governance support through Schema Validation on write is now supported in Confluent Platform 5.4. Schema Validation enables the broker to verify that data produced to an Apache Kafka® […]