The time has come for the analytics industry to work together to harden the Hadoop platform with a shared vision and foundation to build on to move forward. Open standards that are common to all solution providers are a path in the right direction. Enter the Open Data Platform (ODP) group of Hadoop
Watch this live chat with the teams and participants from the #Hadoop4Good challenge to learn why they chose their projects, hear some of their challenges and delve deeper into the story behind their applications.
Fluidity is the degree to which your cloud data analytics resource can be rapidly and cost-effectively repurposed and reconfigured to respond to and proactively drive change in a dynamic world. The fluidity of the logical data warehouse depends on core interfaces, infrastructure and tooling that
Bernard Marr, one of the world’s top experts in big data and analytics strategy, made a return visit to our podcast to explain his vision of "SMART big data, analytics and metrics."
You may be surprised to learn that he doesn't really like "big data." In fact, he says "the challenge is to build the
Mark van Rijmenam, founder of Datafloq and this week’s Big Data and Analytics Hero, declares that “developing a big data strategy requires the organization to have a good understanding of what big data is, what it entails and what the different possibilities are.”
“Let’s say there was a magical crystal ball to predict the future,” says John Choi, director of product management and strategy for the IBM Big Data portfolio. “If you could look into that crystal ball, you’d know a lot more about your customers.” That kind of end-to-end predictive analytics