Aleksa's Book Review: Predictive Analytics, Data Mining & Big Data

in bigdata •  20 days ago

When I first arrived in San Francisco many a moon ago, my trip from the airport was met with a plethora of billboards advertising various "Big Data & Mining" businesses. At the time, I thought nothing of it, attributing the "Big Data" to server farms and "Mining" to cryptocurrency mining, which I smugly disregarded as a somewhat early entrant into the bull market of 2017. However, I should've paid more attention.

Big Data is one of the most important developments in marketing in the previous 15 years, and I don't think it's going away any time soon. This book goes into the design of a big data strategy for government, B2B and B2C alike. I was shocked by the potable nature of something that I had assumed was a dismal field for the savant autists of the world - the book explains clearly and concisely what big data is and is not, and where it should and shouldn't be used.

The actual design and application of a big data system in the pursuit of a business goal is explained in the latter half of the book - which stole my breath. I hadn't known it was that easy to design a big data system (in theory at least - I struggle even with video editing) and how the results that it can bring about are tantamount to cheating.

In closing, this is definitely a solid book to read on Big Data - for introductory purposes, if not for implementation and detailed design. Merely understanding that acquiring a specific type of lead can be done with specific sets of data is instrumental to further learning, and I commend this book on being an excellent primer for my journey into this field.

Authors get paid when people like you upvote their post.
If you enjoyed what you read here, create your account today and start earning FREE STEEM!