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Thoughts on the past and the future of Data Analytics — Part 1

Being in this field for a while now, I think this is quite an interesting time to write a summary from my personal experience on the changes in the last few years, the new directions, or simply something we should do to keep up with the trend in the future.

There will be two parts of this blog, the first one (this one), being about Big Data and Business Intelligence, while the second one will be about Machine Learning and Data Science in general. 1. Big Data, frameworks and tools A couple of years back, most companies would stick with Enterprise Data Warehouse solutions from Oracle or IBM and the like (some of them still does — having to spend millions of dollars up-front and millions of dollar on a recurring basis).

Source: towardsdatascience.com
Author: Le Nguyen The Dat

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