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Data Pipelines Pocket Reference (Moving and Processing Data for Analytics)
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Product Details
Author:
James Densmore
Format:
Paperback
Pages:
274
Publisher:
O'Reilly Media (March 16, 2021)
Language:
English
ISBN-13:
9781492087830
ISBN-10:
1492087831
Dimensions:
4.25" x 7"
File:
TWO RIVERS-PERSEUS-Metadata_Only_Perseus_Distribution_Customer_Group_Metadata_20251022163324-20251022.xml
Folder:
TWO RIVERS
List Price:
$29.99
As low as:
$25.79
Publisher Identifier:
P-PER
Discount Code:
C
Case Pack:
28
Country of Origin:
United States
Pub Discount:
60
Weight:
7.2oz
Imprint:
O'Reilly Media
Overview
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
