CastorDoc and Kafka

Why CastorDoc x Kafka makes sense?

Apache Kafka is a distributed streaming platform designed for building real-time data pipelines and streaming apps. It is capable of handling trillions of events a day. The real-time nature of Kafka makes it especially challenging to manage and understand the data flow, lineage, and metadata, as the information is continuously changing. CastorDoc, on the other hand, is designed to make it easy to find the most relevant data assets with a powerful search optimized thanks to popularity and advanced filtering options. CastorDoc also provides lineage between different data assets like topics, producers, and consumers. Therefore, integrating CastorDoc with Kafka makes sense as it will enhance the user experience by making it easier to find relevant data assets quickly, understand their lineage, and ultimately trust and have visibility in the data. This is especially important in a real-time environment like Kafka, where data is continuously changing and the need for accurate and timely decisions is critical. This will enable businesses to make better decisions faster, which is crucial in today's fast-paced world.

How does CastorDoc x Kafka integration works?

CastorDoc ingests metadata from Kafka. This metadata is then transformed & displayed in CastorDoc. The metadata displayed can be topic names and descriptions, producers, consumers, data lineage links, data quality tests, last data update, technical and business tags, and more. CastorDoc organizes this metadata in an intuitive to use interface for both technical and business users. The ingestion process takes about 30 minutes to set up and the metadata is available in CastorDoc the next day. It is important to know that CastorDoc does not access the data itself, only metadata. This ensures that your data stays safe & secure while CastorDoc delivers as much value as possible. Additionally, having a data catalog like CastorDoc can help manage the real-time nature of Kafka by providing a centralized location for all metadata, making it easier to track changes and understand the current state of the data.