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Find the right big data solution for your business or organization
Big data management is one of the major challenges facing business, industry, and not-for-profit organizations. Data sets such as customer transactions for a mega-retailer, weather patterns monitored by meteorologists, or social network activity can quickly outpace the capacity of traditional data management tools. If you need to develop or manage big data solutions, you'll appreciate how these four experts define, explain, and guide you through this new and often confusing concept. You'll learn what it is, why it matters, and how to choose and implement solutions that work.
- Effectively managing big data is an issue of growing importance to businesses, not-for-profit organizations, government, and IT professionals
- Authors are experts in information management, big data, and a variety of solutions
- Explains big data in detail and discusses how to select and implement a solution, security concerns to consider, data storage and presentation issues, analytics, and much more
- Provides essential information in a no-nonsense, easy-to-understand style that is empowering
Big Data For Dummies cuts through the confusion and helps you take charge of big data solutions for your organization.
Books with free ebook downloads available Big Data For Dummies Epub Free
Incoherent. It was amazing to read things I understood already, and not understand the explanations. Apparently written piecemeal by committee.
By TJ
I regret buying this book. No, it's not the money that I paid, I regret the time I spent trying to see if there was something that I could learn in it.
The book is a LOT of verbiage and adjectives. "Massive" or "scalable" finds its place in almost every page. In one page, I found 5 instances of "massive". Here is another extreme example: "Sparse, distributed, persistent multidimensional sorted map." There are at least three occurrences of that exact phrase.
If you want echo the hype that Big Data is great and learn all the jargon that is used in it, this book is for you. If you want to know why, or get down to fundamentals, skip it. There are typos (eg, [...] and factual inaccuracies (eg, the definition of unstructured data.) There are also completely incomprehensible examples under the garb of "code".
The book says little more than "Big Data is lot of data, you got to deal with it bit by bit". And it takes quite a few words to say that. It has no depth. Even when reading the last chapter, you feel that you're reading the introduction.
By Vasan Subramanian