Your cart

Your cart is empty


Explore our range of products

15% off

O'Reilly Media Paperback English

Data Pipelines Pocket Reference

Moving and Processing Data for Analytics

By James Densmore

Regular price £23.99 £20.39 Save 15%
Unit price
per
15% off

O'Reilly Media Paperback English

Data Pipelines Pocket Reference

Moving and Processing Data for Analytics

By James Densmore

Regular price £23.99 £20.39 Save 15%
Unit price
per
 
Dispatched today with FREE Tracked Delivery
Delivery expected between Thursday, 4th June and Friday, 5th June
(0 in cart)
Apple Pay
Google Pay
Maestro
Mastercard
PayPal
Shop Pay
Visa

You may also like

  • 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 worksHow data is moved and processed on modern data infrastructure, including cloud platformsCommon tools and products used by data engineers to build pipelinesHow pipelines support analytics and reporting needsConsiderations for pipeline maintenance, testing, and alerting
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 worksHow data is moved and processed on modern data infrastructure, including cloud platformsCommon tools and products used by data engineers to build pipelinesHow pipelines support analytics and reporting needsConsiderations for pipeline maintenance, testing, and alerting