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Data Pipelines Pocket Reference
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Data pipelines are the foundation for success in data analytics. Moving data from numerous diverse sources and transforming it to provide context is the difference between having data and actually gaining value from it. This pocket reference defines data pipelines and explains how they work in today's modern data stack. You'll learn common considerations and key decision points when implementing pipelines, such as batch versus streaming data ingestion and build versus buy. This book addresses the most common decisions made by data professionals and discusses foundational concepts that apply to open source frameworks, commercial products, and homegrown solutions. You'll learn: What a data pipeline is and how it works How data is moved and processed on modern data infrastructure, including cloud platforms Common tools and products used by data engineers to build pipelines How pipelines support analytics and reporting needs Considerations for pipeline maintenance, testing, and alerting
Recensioner
Customer | Verifierad köpare | 2023-10-18
Good read with a lot of useful information, although I would have preferred if it remained more conceptual and less specific in some parts. Code examples felt a little redundant when repeated for different DMBSes or other minor changes. Perhaps it's useful for readers not already proficient in programming.