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In this guide, we’ll explore the patterns that can help you design data pipelines that actually work. Table of Contents Common Data Pipeline Design Patterns Explained 1. LambdaArchitecture Pattern 4. Kappa Architecture Pattern 5. Data Mesh Pattern 8. The data lakehouse has got you covered!
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Data ingestion is the process of collecting data from various sources and moving it to your datawarehouse or lake for processing and analysis. It is the first step in modern data management workflows. Source : Fundamentals of Data Engineering by Joe Reis and Matt Housley.
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