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.
From the Back Cover
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
Paperback: 336 pages
Publisher: For Dummies (April 2013)
标签：云计算, 互联网, 大数据