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Data Pipelines Pocket Reference

Moving and Processing Data for Analytics

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. Les mer
Vår pris
257,-

(Paperback)
Leveringstid: Sendes innen 7 virkedager

Paperback
Legg i
Paperback
Legg i
Vår pris: 257,-

(Paperback)
Leveringstid: Sendes innen 7 virkedager

Om boka

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

Fakta

Om forfatteren

James is the Director of Data Infrastructure at HubSpot as well as the founder and Principal Consultant at Data Liftoff. He has more than 10 years of experience leading data teams and building data infrastructure at Wayfair, O'Reilly Media, and Degreed. James has a BS in Computer Science from Northeastern University and an MBA from Boston College.