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Big Data For Dummies

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. Someone once said, “Having lost sight of our objective, we will redouble our efforts.” How often have you seen that mentality at work, usually by a frustrated manager after an embarrassing mistake? People promise to work harder and smarter, but they still aren’t really quite sure what they are doing or why. Not understanding where you are going, what you want to do, or how to get there is fun for a carefree vacation, but it’s no way to approach anything that you want to be successful. That’s certainly true if you are trying to learn a new paradigm such as Big Data, but fortunately with Big Data Analytics For Dummies, Alteryx Special Edition, you have help to guide you on this exciting journey! If you don’t know where you’re going, any chapter will suffice — but Chapter 1 might be a good place to start! However, if you see a particular topic that interests you, feel free to jump ahead to that chapter. Each chapter is written to stand on its own, so feel free to start reading anywhere or to skip around! Read this book in any order that suits you (although I don’t recommend upside down or backwards). I promise you’ll put the book down thinking, “Wow, I didn’t know this stuff could be so easy!”
Big Data / Databases
Added on
Oct 23, 2014 
Big Data, Dummies
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Oct 23, 2014 a

This book provides one of the best primers on Big Data that I've seen for a general business and technical readership. Hurwitz, Nugent, Halper, and Kaufman structure their discussion well, provide a comprehensive overview of the vast range of technologies included under this umbrella term.

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Rating: 9.50 / 10 (2 Votes cast)

Latest Comments

a / Oct 23, 2014
This book provides one of the best primers on Big Data that I've seen for a general business and...

Asher / Sep 4, 2014
This book skips so many intermediate steps that it is not suitable for beginners.

Asher / Sep 4, 2014
By far the best intro to Java I have ever encountered,this book was all I needed to learn Java....

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