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- Author: James Densmore
- Publisher: O'Reilly Media
- ISBN-10: 1492087831
- ISBN-13: 9781492087830
- Format: 10.8 x 17.8 x 1.5 cm, minkšti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
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Description
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
EXTRA 10 % discount with code: EXTRA
The promotion ends in 21d.17:26:13
The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Author: James Densmore
- Publisher: O'Reilly Media
- ISBN-10: 1492087831
- ISBN-13: 9781492087830
- Format: 10.8 x 17.8 x 1.5 cm, minkšti viršeliai
- Language: English English
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
Reviews