Datastream for BigQuery Integration Guide

Seamlessly replicate data in real time with Datastream BigQuery GCP integration. Our Google Cloud Support team is ready to assist you. 

Datastream for BigQuery Integration Guide

Datastream for BigQuery enables continuous, real-time data replication from databases such as MySQL, PostgreSQL, and Oracle into BigQuery. It uses Change Data Capture (CDC) to ensure every insert, update, or delete is reflected instantly, empowering analytics teams with live, reliable insights without managing heavy infrastructure.

Products Used

Datastream integration relies on a few essential Google Cloud services that work together to deliver seamless replication.

• Google Cloud Datastream: The core CDC and replication service.
• BigQuery: The analytics destination where live data is stored and queried.
• Cloud Storage (optional): Acts as a staging layer during replication and is also useful when troubleshooting access or cleanup tasks such as delete GCP storage bucket.
• Dataflow (optional): Handles custom transformations when needed.
• Source Database: Supported systems include MySQL, PostgreSQL, AlloyDB, SQL Server, and Oracle.

Each component plays a critical role in ensuring smooth, automated, and secure data transfer to BigQuery.

Setting Order

Before you begin, ensure your Google Cloud environment is configured correctly.

1. Prepare the Source Database: Enable CDC, create a user with replication rights, and set up secure connectivity.
2. Enable APIs: Activate the Datastream and BigQuery APIs in your Google Cloud project.
3. Network Configuration: Establish connectivity using VPC peering or IP allowlisting for secure access.
4. Prepare the BigQuery Dataset: Create the dataset that will hold your replicated tables and assign proper IAM permissions to Datastream. If authentication issues occur during configuration, review access scopes and plugin compatibility to resolve errors like “The GCP Auth Plugin Has Been Removed” Error.

Following this order ensures that your replication setup runs smoothly from the start.

Profile Creation

Creating connection profiles defines how Datastream communicates with your source and destination.

• Source Connection Profile: Include your database host, credentials, and connectivity type.
• Destination Connection Profile: Select BigQuery as the destination and confirm dataset access.

After defining both profiles, validate connections to confirm successful setup. Accurate profiles are the foundation of a stable data stream.

Creating a Stream

Once profiles are ready, create a replication stream in Datastream.

• Choose the source and destination profiles.
• Select schemas and tables to replicate.
• Define your replication type, such as full backfill or CDC-only.
• Review settings and start the stream once validation passes.

The stream continuously captures and delivers updates to BigQuery in near real time, ensuring analytics always run on fresh data.

Operation Check

After configuration, verify that replication works as expected.

• Monitor Status: Use the Datastream console to view stream health.
• Test Replication: Add, modify, or delete data in the source database and confirm it appears in BigQuery within seconds.
• Check Logs: Review any replication warnings or latency issues.

Regular monitoring ensures consistent data flow and accuracy across systems.

[Need assistance with a different issue? Our team is available 24/7.]

Conclusion

Datastream BigQuery GCP delivers a reliable, serverless, and real-time data replication experience. It simplifies database integration, keeps your analytics up to date, and eliminates manual data movement. With its automated workflows and instant synchronization, you can focus more on insights and less on infrastructure.

In brief, our Support Experts demonstrated how to fix the “554 5.7.1 : Relay access denied” error.