Big Data Fundamentals –

Concepts, Drivers & Techniques

Big Data Fundamentals, Concept Drivers & Techniques, is written by 3 authors: Thomas Erl, Wajid Khattak and Paul Buhler.

This book is an overly general concept telling what big data contains. With including mostly not needed terms about big data analysis.

Opinion

This book is written in a boring school and PC nerd language. There are no passages I found too complicated to understand, but are too generally put into definitions that vanish the desire to read.
The chapters are barely in interaction with each other and almost the entire book is filled with needles illustrations. The one subject case all around the book is only a summation of the given terms to be implemented, but barely without the what or why.

If you are a noob or an expert into big data, this book is evenly useless.
With the feature to register your purchase, you can stay informed about new and recent changes from the authors, but I assume Google or Wikipedia have better gossip to tell about data mining.

Conclusion

I would rate this book an 2/10.
The chapters are almost only definitions with a boring – not much telling – case.
With the fact that big data is probably the most defining invention in the marketing world, it is astonishing to see these authors can not manage to write an exciting book.

The book reminds me of a schoolbook ‘Social Marketing’, where every concept of Marketing was applied to the non-for-profit sales world. So actually by just reusing existing information and giving it another name. Big Data Fundamentals works with existing computing skills and how to apply them to the big data analysis.

I do not recommend this book to all who is eager to learn about basic data mining. And even if you need some kind of big data dictionary, there are better solutions.