Data Storage Systems

Redshift, MySQL, PostGreSQL, Hadoop and a list of other data systems are utilized for various analytical and operational purposes in the modern business world. As each company focuses more and more on big data the importance of picking the right system will increase. However, there are more data options to choose from then one might care to ever learn the name of. Each of these systems offers a variety of features and have pros and cons.

As you go through your data career you will have the opportunity to work with various data systems and at some point, you might need to make the call for what system your company will use. This talk will cover the differences between these various systems as well as some situations where one might perform better than the other. The goal will be to provide viewers a good overview of each system so they can make better decisions in the future for which system they might want to rely on.

More Data Science Material:
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[Video] Building Data Science Products? Think Business First!
[Blog] Building Data Visualization Tools


About The Author
- Ben is a Seattle based Data Scientist & Engineer working in San Francisco, California. He has extensive experience designing ETL pipelines, databases, websites, and other software products for startups and pre-established corporations.


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