March 2019
Beginner
504 pages
11h 17m
English
Content preview from Learning Tableau 2019 - Third Edition
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Performance
Prior to 10.5, Tableau Data Extracts (.tde files) were very efficient columnar databases that performed well with the Tableau data engine. With Tableau 10.5, Tableau introduced the Hyper data engine, which shows remarkable performance gains, especially for large datasets. Both .tde and .hyper extracts will perform faster than most traditional live database connections. This is based on several factors, as follows:
- Hyper extracts make use of a hybrid of OLTP and OLAP models, and the engine determines the optimal query. Tableau Data Extracts are columnar and also very efficient to query.
- Extracts are structured so they can be loaded quickly into memory without additional processing and moved between memory and disk storage, so ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.