Session

Optimizing File-Based CDC Workflows with BigQuery Transfer Service

This talk explores a simple, low-maintenance solution using BigQuery Transfer Service to efficiently transfer data and unlock native tables.

Ideal for: Developers & data engineers working with legacy data or multi-cloud environments.

Key Takeaways:
Understand the challenges of integrating file-based CDC with BigQuery.
Discover why federated queries might not be the optimal approach.
Learn how BigQuery Transfer Service simplifies data ingestion and streamlines workflows.
Gain insights into best practices for optimizing file-based CDC in BigQuery.

Explore a practical code example demonstrating the solution.
Live Demo & Code Example (GitHub):
https://github.com/dhirajchaudhari20/parquet_to_bigquery
Additional Information:

I will be providing a link to a Google Slides deck summarizing the key points for easy reference.
The code used in the demo will be available on a public GitHub repository for further exploration.

Dhiraj Chaudhari

Senior Evaluator @Smart India Hackathon | Founder @DC InfoTech Pvt Ltd | 3x GCP Certified

Mumbai, India

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