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How-to

Real-world Data Integration Patterns

Learn the basics of Google Cloud Data Integration. How do you go from basic, hardcoded data pipelines to making your solution is dynamic and reusable? How do you parameterize your pipelines? What is the difference between parameters and variables, and when should you use them?

Nidhi Modh, Product Manager, Google Cloud, answers all these questions and more. He contrasts practices with traditional views of data integration, the benefits and the challenges.

Explore some common design patterns for moving and orchestrating data, including incremental and metadata-driven pipelines. Discover best practices and lessons learned and highlight common data engineering best practices for building scalable and high-performing data integration solutions.

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