Data pipelines pocket reference, moving and processing data for analytic, James Densmore
Type
Label
Data pipelines pocket reference, moving and processing data for analytic, James Densmore
Language
eng
Illustrations
illustrations
Index
index present
Literary Form
non fiction
Main title
Data pipelines pocket reference
Oclc number
1202056809
Responsibility statement
James Densmore
Sub title
moving and processing data for analytic
Summary
"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." --, Provided by publisher
Table Of Contents
Introduction to data pipelines -- A modern data infrastructure -- Common data pipeline patterns -- Data ingestion: extracting data -- Data ingestion: loading data -- Transforming data -- Orchestration pipelines -- Data validation in pipelines -- Best practices for maintaining pipelines -- Measuring and monitoring pipeline performance
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