As exciting as the Big Data for Social Good Challenge is, it is also a little intimidating to think of an idea big enough for big data. In this post, I’ll share some tips to get you going on the Challenge. Just like a term paper, beginning is the key to finishing, so let's get started.
This past summer we witnessed an incredible phenomenon seemingly capturing the world by storm: The ALS Ice Bucket Challenge. Facebook estimates 28 million people posted about ALS between June 1 and August 28, including comments and tags. 2.4 million videos also were created on YouTube, spreading
IBM developer challenges foster collaboration that can have a worldwide impact. Developers bringing together the power of open data, Hadoop and analytics can solve huge world problems, like the current Ebola crisis.
Create worldwide impacts with IBM Big Data
Today, energy and utility companies are relying on Hadoop to help curb energy consumption, reduce energy loss and add more clean power to the grid. Using big data and analytics, organizations can empower users to understand their energy usage and give them the chance to reduce how much they use and
Automotive and manufacturing organizations deal with a massive volume of data, including global data from customers and data generated through internal business operations, research and development (R&D) and supply chain activities. These data sets represent an opportunity for an organization
SQL-on-Hadoop is a hot topic. As organizations increasingly leverage Hadoop to gain new capabilities and lower costs, it only makes sense that they would seek to leverage technologies compatible with what they have. Few technologies are as ubiquitous as the structured query language when it comes
Last month I introduced the Big Data for Social Good Challenge and since then it has opened for submissions with data sets from around the globe plus lots of prize winning opportunities. You might have seen that Chip and Jason are in—are you?
Supporting the social initiatives important to IBM employees and their families and friends is important to IBM. Now, big data technology is giving IBM and its people another opportunity to serve our communities and the world.
What a shame. Most businesses aren’t taking advantage of their data, leaving them hungry for success. According to Forrester Research analyst, Michele Goetz, only 12 percent of available data is used. If I am any good at math, that means there is a lot of data that is not being used.
"Most companies are simply not doing enough with their data—leaving them hungry for success.” But, as John Choi, director of product management and strategy for IBM's big data portfolio, explains, that’s exactly what IBM InfoSphere BigInsights for Hadoop wants to change.
Learn why IBM + Hadoop
Dirk deRoos tells us about the cost effectiveness of Hadoop. “One way that“Hadoop is being valuable to a business is in looking at what Hadoop can do that a lot of existing systems can’t do.”
Hadoop can be used as a landing zone to explore data and determine what is of value to send to the
Now that the Ebola virus is sitting in our backyard, the entire country is on high alert—and rightfully so, as it's no longer a disease that's plaguing people continents away, in little known countries. WHO indicates that there are 9216 Ebola cases with 4555 deaths. My first thought when I look at
“Hadoop is unstoppable as its open source roots grow wildly and deeply into enterprise data management architectures,” Forrester analysts Mike Gualtieri and Noel Yuhanna wrote recently in The Forrester Wave Big Data Hadoop Solutions Q1 2014 on the Hadoop marketplace. “Forrester believes that Hadoop
Big data (data from many sources, of varying formats, both structured and unstructured) means different things in different industries. But as different as their needs and usage of big data may be, there is one commonality among all industries: the opportunity to plumb big data for better, more
I'm impressed with initiatives in the U.S. data scientist community to volunteer their time to worthy causes at home and abroad. Clearly, most of the data scientists who participate in communities such as New York-based DataKind have day jobs to pay the bills. But they see larger humanitarian