In the world of real-time data integration, visibility is often the biggest hurdle. As your data estate grows, keeping track of every stream, connection, and private network configuration can feel like searching for a needle in a haystack.
Today, we are thrilled to announce the Public Preview of Datastream’s integration with Knowledge Catalog. This milestone is the first step in our vision to provide a centralized, “single pane of glass” for all your Datastream assets.
What are we announcing ?
We are introducing a deep metadata integration between Datastream and the Knowledge Catalog. Available now in public preview, this feature automatically ingests and synchronizes Datastream metadata into Knowledge Catalog.
By default, all Datastream resources — including Streams, Connection Profiles, and Private Connections — are now discoverable within Knowledge Catalog. This means you no longer need to hop between different UIs to understand how your data is moving across Google Cloud.
The Power of Knowledge Catalog
For those new to the ecosystem, Knowledge Catalog is Google Cloud’s intelligent data fabric. Its Catalog serves as a centralized metadata management tool that allows organizations to search, browse, and manage their data assets across different projects and services.
Integrating with Knowledge Catalog is a game-changer for GCP users because it:
- Eliminates Data Silos: It brings Datastream metadata out of its own silo and into the broader context of your entire data estate.
- Enhances Discoverability: It allows users to find Datastream assets using the same search interface they use for BigQuery tables or Pub/Sub topics.
- Centralizes Governance: It provides a unified view for data stewards and engineers to see exactly what configurations are running in real-time.
How the Integration Works
This isn’t just a simple link between services; it’s a robust synchronization of three critical metadata categories:
Live & Batch Sync
To ensure you are always looking at the most accurate information, we use a dual-sync strategy:
- Live Sync: Near real-time updates via Pub/Sub whenever a metadata change occurs.
- Batch Sync: Periodic “checkpoints” to Google Cloud Storage to ensure eventual consistency across all assets.
What can you do with it?
The integration unlocks powerful discovery use cases. You can now use the Knowledge Catalog UI to search and find answers to questions like:
- “Which streams are currently connected to my BigQuery destination?”
- “What are all the streams associated with this specific Private Connection ID?”
- “Which streams are writing to this particular GCS bucket?”
What is Next?
Metadata discovery is just the beginning. We know that understanding the context of data is only half the battle — you also need to see the flow.
Next in line is the Data Lineage integration. While Milestone 1 focused on the metadata layer, Milestone 2 will focus on providing end-to-end lineage within Knowledge Catalog. This will allow you to see the full journey of your data, from the source database through Datastream and into your final destination, all visualized in a single graph.
Stay tuned for more updates as we continue to make your data estate more transparent and easier to manage!
For more details you can look at the documentation here.
Breaking Down Data Silos: Announcing Datastream Integration with Knowledge Catalog was originally published in Google Cloud – Community on Medium, where people are continuing the conversation by highlighting and responding to this story.
Source Credit: https://medium.com/google-cloud/breaking-down-data-silos-announcing-datastream-integration-with-knowledge-catalog-2cda86a50598?source=rss—-e52cf94d98af—4
About the Author
