๐”– Scriptorium
โœฆ   LIBER   โœฆ
๐Ÿ“

Data Pipelines Pocket Reference: Moving and Processing Data for Analytics

โœ Scribed by James Densmore

Publisher
O'Reilly Media
Year
2021
Tongue
English
Category
Library
โฌ‡  Acquire This Volume

No coin nor oath required. For personal study only.

โœฆ Synopsis

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

๐Ÿ“œ SIMILAR VOLUMES

Data Pipelines Pocket Reference: Moving
๐Ÿ“ Data Pipelines Pocket Reference: Moving and Processing Data for Analytics
โœ James Densmore ๐Ÿ“‚ Library ๐Ÿ“… 2021 ๐Ÿ› O'Reilly Media, Inc, USA ๐ŸŒ 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

Data Pipelines Pocket Reference: Moving
๐Ÿ“ Data Pipelines Pocket Reference: Moving and Processing Data for Analytics
โœ James Densmore ๐Ÿ“‚ Library ๐Ÿ“… 2021 ๐Ÿ› O'Reilly Media ๐ŸŒ 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

Process Analytics: Concepts and Techniqu
๐Ÿ“ Process Analytics: Concepts and Techniques for Querying and Analyzing Process Data
โœ Seyed-Mehdi-Reza Beheshti, Boualem Benatallah, Sherif Sakr, Daniela Grigori, Ham ๐Ÿ“‚ Library ๐Ÿ“… 2016 ๐Ÿ› Springer International Publishing ๐ŸŒ English

<p><p>This book starts with an introduction to process modeling and process paradigms, then explains how to query and analyze process models, and how to analyze the process execution data. In this way, readers receive a comprehensive overview of what is needed to identify, understand and improve bus

Data Analytics: Models and Algorithms fo
๐Ÿ“ Data Analytics: Models and Algorithms for Intelligent Data Analysis
โœ Thomas A. Runkler (auth.) ๐Ÿ“‚ Library ๐Ÿ“… 2012 ๐Ÿ› Vieweg+Teubner Verlag ๐ŸŒ English

<p>This book is a comprehensive introduction to the methods and algorithms and approaches of modern data analytics. It covers data preprocessing, visualization, correlation, regression, forecasting, classification, and clustering. It provides a sound mathematical basis, discusses advantages and draw

Data Analytics: Models and Algorithms fo
๐Ÿ“ Data Analytics: Models and Algorithms for Intelligent Data Analysis
โœ Thomas A. Runkler ๐Ÿ“‚ Library ๐Ÿ“… 2016 ๐Ÿ› Springer Vieweg ๐ŸŒ English

This book is a comprehensive introduction to the methods and algorithms of modern data analytics. It provides a sound mathematical basis, discusses advantages and drawbacks of different approaches, and enables the reader to design and implement data analytics solutions for real-world applications. T