So you want to enter the data science field, or maybe you are already a data scientist looking to expand your horizons. Several routes into the profession can provide the core skills, knowledge and best practices necessary to become a developer in the era of cognitive computing. And events such as
Why is Spark so badly needed by the data science community? Primarily, it offers an open platform for fast, powerful data access that is vital for organizations because they are increasingly using a wide variety of technologies to deliver analytics, and they are tied to a variety of workloads.
If you want to create apps for the Internet of Things, you need the proper ingredients. A tasty combination of collaboration and open platforms are readily available to help anyone easily concoct apps that appeal to even the most discerning end users.
IBM is empowering organizations of all sizes (and industries) through data and analytics. With the advent of the cloud, clients can now innovate faster, work smarter and solve pressing business problems—sometimes with just the press of a button.
Pacesetters view transformational technologies (big data, analytics, cloud, mobile and social business) as critical to their organization's business success, and they’re outpacing competitors in adopting these new technologies.
This month’s articles show the promise of big data technology in action. Explore the tools that help you digest the data, filter out the noise and make your next business decision based on the trends it reveals. Grab your safety goggles—it’s time to put theory to the test.
developerWorks Editor Barb Wetmore brings you a summary of the latest how-to technical content for developers. This month includes an announcement of a new big data and analytics zone on developerWorks, integration of DB2 for z/OS with InfoSphere BigInsights, creation of a date time dimension with
DeveloperWorks big data and analytics editor, Barb Wetmore, brings you a summary of the latest how-to technical content for developers. This month includes enabling Watson to use sensor data, using the BLU Acceleration service in the Codename: BlueMix cloud platform, detecting and tracking the
IBM’s recent addition of big data and analytic services into Bluemix will empower today’s application developer with an unmatched pool of resources. It will drastically reduce the time and cost for developers to get an analytical application off the ground and open new doors for immediate trial.
Do you know how many olives it takes to make that tablespoon of olive oil you just doused on your lunch salad? It takes a big pile of olives. More than 50.
Now, guess how much data it takes to grasp an accurate picture of market trends, emerging markets or potential security breaches; how much do
Quick. Name one difference between data and big data. It’s bigger, of course, and it comes in faster, in more shapes and sizes. Sometimes it’s hard to sort the trustworthy from the noise. For a big data developer, the trick is to find tools and technologies that can be applied to traditional