Free Ebook Big Data For Dummies, by Judith Hurwitz, Alan Nugent, Fern Halper, Marcia Kaufman
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Big Data For Dummies, by Judith Hurwitz, Alan Nugent, Fern Halper, Marcia Kaufman
Free Ebook Big Data For Dummies, by Judith Hurwitz, Alan Nugent, Fern Halper, Marcia Kaufman
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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.
- Sales Rank: #146997 in Books
- Published on: 2013-04-15
- Original language: English
- Number of items: 1
- Dimensions: 9.30" h x .65" w x 7.40" l, 1.09 pounds
- Binding: Paperback
- 336 pages
From the Back Cover
Learn to:
- Leverage big data tools and architectures
- Explore how big data can transform your business
- Integrate structured and unstructured data into your big data environment
- Use predictive analytics to make better decisions
Here's the guide that can keep big data from becoming a big headache!
Big data can be a complex concept. For Dummies to the rescue! Here's a plain-English explanation of what big data is (and isn't), the technology and database options supporting it, analytics that help you get meaning from your data, how to manage it, and what it can do for your company. Business executive or IT person, here's what you need to know.
- What it is — get your mind around big data from both a technical and business perspective
- Organize it — meet the big data stack and learn about different architectural levels, operational databases, organizing databases, and analytical data warehouses
- Big data computing model — explore distributed computing as well as the power of virtualization and the cloud
- Hadoop and MapReduce — learn the importance of Hadoop and MapReduce for big data analysis
- Get analytical — identify analytics tools for big data and evaluate the various new models that are evolving
- Ready? Implement — discover how to implement your big data solution with an eye to operationalizing and protecting your data
- What it means — see the importance of big data to your organization and how it's used to solve problems
Open the book and find:
- A definition of big data
- Profiles of various available technologies
- The role of the cloud
- How MapReduce aids big data management
- Why Hadoop is so important
- Some specific uses for text analytics
- How to approach big data security and privacy
- Ten best practices for managing big data
About the Author
Judith Hurwitz is an expert in cloud computing, information management, and business strategy. Alan Nugent has extensive experience in cloud-based big data solutions. Dr. Fern Halper specializes in big data and analytics. Marcia Kaufman specializes in cloud infrastructure, information management, and analytics.
Most helpful customer reviews
40 of 47 people found the following review helpful.
Big words for dummies
By Vasan Subramanian
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.
41 of 51 people found the following review helpful.
Glib, rambling and incoherent
By Dana Robinson
First, my background: I am a data and software architect at a company that produces software to handle very large quantities of scientific data. I picked this book up to see if it were worth recommending to other people at my company. (spoiler: it is not)
This book uses a lot of words to say very little and what it does say is often either incomplete to the point of uselessness or flat out wrong. The text is full of buzzwords and jargon, often used incorrectly. The figures are laughably useless (see figure 3-2 for a GREAT example). I think that the problem might be that Hurwitz and co. are business consultants and possibly in the habit of creating poorly researched, content-free, and buzzword-heavy prose for people with a limited depth of knowledge.
I would not recommend this book to anyone. Well, maybe I'd recommend it as a great example of very bad technical writing, but that's about it. I have no idea how other people are giving this five stars. Perhaps they are sockpuppet accounts.
Sadly, I don't know of a good introduction to the myriad of technologies that falls into the "big data" category. Such a book would be difficult to write well since it would have to make many complicated topics understandable to a novice.
23 of 27 people found the following review helpful.
Inexcusably bad writing
By TJ
Incoherent. It was amazing to read things I understood already, and not understand the explanations. Apparently written piecemeal by committee.
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