Resources to learn about engineering aspects of data analytics (OLAP, warehousing, ETL, etc.)

Posted by JT on Stack Overflow See other posts from Stack Overflow or by JT
Published on 2010-05-03T22:14:17Z Indexed on 2010/05/03 22:18 UTC
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database-design

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data-analysis

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analytics

I'm a math/stats guy, interested in learning more about the engineering aspects of "data analytics" (this may be an overly broad term, this is a case of "I don't know what I don't know", so I'm not sure how to be more specific).

I'm fine with manipulating and analyzing the data once it's already stored somewhere and I can access it, and I'm fine with writing scripts and SQL queries (and have a general knowledge of things like normalization). What I don't know is the whole engineering process of capturing and storing the data. For example, terms I've heard thrown about that I only vaguely understand the meaning of include: - OLAP, OLTP - Data warehousing - ETL - ???

What's a good book (or any other resource) to learn about these kinds of things? What are things I should know about database design (normalization seems kinda "obvious" to me, something I would have done even before I knew the term -- is there anything else?)?

In other words, for jobs falling under the umbrella term of "analytics engineer", what kinds of things should I know?

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