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Data Pipelines Pocket Reference: Moving and Processing Data for Analytics
James Densmore你有多喜欢这本书?
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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
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
年:
2021
出版:
1
出版社:
O'Reilly Media
语言:
english
页:
276
ISBN 10:
1492087831
ISBN 13:
9781492087830
文件:
PDF, 7.63 MB
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IPFS:
CID , CID Blake2b
english, 2021
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