Data Pipelines Pocket Reference: Moving and Processing Data for Analytics

Data Pipelines Pocket Reference

Moving and Processing Data for Analytics

By
James Densmore
James Densmore
2021 • 200 pages

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15

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1 book

Data Engineering

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Nicole MarkSupporter
Data Pipelines Pocket Reference: Moving and Processing Data for Analytics

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76 books

Technical

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The Art of Software Testing
Clean Code: A Handbook of Agile Software Craftsmanship
Dive Into Refactoring
Professional CMake: A Practical Guide
Version Control with Git: Powerful tools and techniques for collaborative software development
Continuous Delivery: Reliable Software Releases Through Build, Test, and Deployment Automation

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14 books

Ingenieria Datos

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juan targon
Learning Spark: Lightning-Fast Big Data Analysis
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Data Pipelines Pocket Reference: Moving and Processing Data for Analytics
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications