Data Engineering for Smart Automation

July 29th, 2020

Data Engineering focuses storing and moving data between processes, just like house water pipelines transport water from streets to showers and back. If you're tackling complex problems and you're not using appropriate tooling, your risk failure increases. Some processes may be senstive to data quality while others may be sensitive to speed, volume, or other properties. In this post you will learn the top tools and techniques for different use cases, and trade-offs between them from a business perspective.


Pending

Comment to help prioritize content.

Learn more: "A User-Driven Knowledge Center"



AUTHOR
I help companies through digital transformations by designing and developing systems that improve human decision making with data, cloud, software, and mathematics (Machine Learning, Operations Research, Statistics). I also enjoy coaching teams and publishing content on Smart Automation.

Comments

Comments not loaded in development.

Recommended