Data Pipelines Pocket Reference: Moving and Processing Data for Analytics
Densmore, James
- 出版商: O'Reilly
- 出版日期: 2021-03-16
- 定價: $1,150
- 售價: 8.8 折 $1,012
- 語言: 英文
- 頁數: 276
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1492087831
- ISBN-13: 9781492087830
-
相關分類:
大數據 Big-data、Data Science、Machine Learning
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商品描述
Data pipelines are the foundation for success in data analytics and machine learning. Moving data from many diverse sources and processing 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 data pipeline design patterns, data ingestion implementation, data transformation, the orchestration of pipelines, and build versus buy decision making. 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 machine learning and analytics needs
- Considerations for pipeline maintenance, testing, and alerting
作者簡介
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.
