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Data Pipelines Pocket Reference by James Densmore

Data Pipelines Pocket Reference

Moving and Processing Data for Analytics

James Densmore

O'Reilly Media · Print & ebook · March 16, 2021

Data pipelines are the foundation for success in data analytics.

Data MiningDatabase AdministrationData Warehousing
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Who it’s for
A compact guide to how data moves, gains context, and supports analytics.
Themes
Data pipeline design and implementation, Analytics and reporting, Pipeline maintenance and testing
Genres
Data Mining, Data Warehousing, Database Administration

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About this book

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.

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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

Pipelines, Plainly

A compact guide to how data moves, gains context, and supports analytics.

Come here for

  • A practical look at batch versus streaming and build versus buy
  • The role of pipelines in analytics and reporting

Expect

  • Core concepts spanning cloud, open-source, commercial, and homegrown systems
  • Attention to maintenance, testing, and alerting

Where it sits

Data Warehousing65%
Data Mining41%
Database Administration37%

Percentages are BookFrontier’s reading of the book.

Publisher categories

  • Data Science
  • Data Warehousing
  • Data Modeling
  • Desktop Databases
Authors
James Densmore
Publisher
O'Reilly Media
Published
March 16, 2021
Format
Print & ebook
Theme
Data pipeline design and implementation · Analytics and reporting · Pipeline maintenance and testing
Reading lane
Data Science