Did you resolve to learn more about big data in 2013? Boost your learning by checking out some new resources you may have missed on IBM Data Magazine. Some of our very own Big Data Hub authors have published pieces on big data topics and solutions.
First, Tom Deutsch explains “Why Big Data Doesn't Require a Big Idea.” Deutsch shares the misconception of the “big idea” needed for big data and reflects on recent articles by Bob Evans and Ray Wang that illustrated the 3 “buckets” most big data opportunities fall into. Learn how you can approach these 3 opportunities, and read how Deutsch believes a big data journey should begin.
IBM Champion David Birmingham shares part 1 of his new series on “Large-Scale Data Management in PureData/Netezza.”Birmingham explores the PureData/Netezza solution and explains how to best manage large amounts of data in a data warehouse.
IBM's Big Data Evangelist, James Kobielus investigates “The Role of Stream Computing in Big Data Architectures.” Learn all of the great features of InfoSphere Streams 3.0 and see why stream computing is poised to hit the next level.
These are just a few articles to help stimulate and expand your big data knowledge as 2013 takes off and the world of big data continues to grow. Check out IBM Data Magazine for more great resources.
Also, be sure to keep following IBM Big Data Hub! Fresh, useful information and content about big data is posted throughout the week -- every week! Catch up on what you might have missed this week:
Five new blogs this week, including one by IBM Fellow and Chief Scientist Jeff Jonas: "There is No Single Version of the Truth."Jonas explains why “multiple versions” of truth are needed.
Graeme Noseworthy explores “How Audience Measurement Is Changing The Model For Marketers & Advertisers."
Sushil Pramanick explains the importance of the customer in the retail industry in his new post, "Is Customer the King? In Retail, Analytics Say "Yes"
IBM Big Data Evangelist James Kobielus defines the “Internet of Things” in his new Next Best Action post.
- Mike Kearney shares real examples of customer requests and how it led to a high-performance computing system for analytics in his new post, “Spreading Simplicity."
Watch this video to learn more about "How Audience Measurement Is Changing The Model For Marketers & Advertisers” featuring IBM's Nancy Notaro and Graeme Noseworthy.
Learn what insurance companies are doing to prevent fraud by listening to the podcast, "Outsmarting the Insurance Claims Fraudster” featuring IBM's Kim Minor.
Learn how savvy retailers can predict, plan, pinpoint and promote by checking out Big Data in Retail: Examples in Action.
Be sure to register for one of the Big Data Developer Days in a city near you!
Is there something else you would like to know about big data? Let us know what interests you, and we will do our best to deliver! Simply leave a comment below.