All the excitement around Spark is completely justified. With features such as cached in-memory distributed computing and extension libraries, Spark brings unprecedented speed to cloud-based applications while remaining easy to use.
Rapid advances in cognitive computing and machine learning are enabling smart guidance in many scenarios. Coming on the heels of several key recent announcements, discover how line-of-business and other users can now leverage the full range of analytics—cognitive, descriptive, predictive and
Public sector stakeholders who stand to benefit from data-driven weather analyses include those responsible for emergency planning, disaster preparedness and response. These analyses should incorporate both the agency’s own emergency planning and monitoring data sets as well as weather data that
Apache Spark provides a processing framework that is well suited for collaboration among data scientists, developers and data engineers who create highly adaptive solutions. Attendees at Insight 2015 can learn much more about the Spark framework that is built for speed, ease of use and
At IBM Insight 2015, you’ll be able to discover the latest and greatest in the SPSS universe. A lot will be going on at Insight, so take care not to miss the sessions that will interest you most. Learn the ins and outs of SPSS sessions at Insight, allowing you to make the most of your Insight
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
Apache Spark is exploding as a worldwide phenomenon since its origin in the Silicon Valley area of California. Find out just who widespread its adoption has grown in a survey of global examples, a wide array of community participations and upcoming event opportunities.
No one keeps a weather eye like the property and casualty industry does. In their incessant quest to mitigate and prevent natural disasters, insurance providers can be among the chief beneficiaries of weather analytics, gauging weather-related risks to protect insured assets and avoid incurring
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.
As a strategic sponsor, IBM was represented in full force at Strata + Hadoop World 2015 in New York, New York. Day one proved to be a buzz of activity that included IBM data science experts getting a hands-on lab course on practical data science underway, IBM spokespeople discussing offerings and
Weather’s power over us is undeniable. But now big data analytics can help enterprises take advantage of forecasts to anticipate how the weather is going to influence consumers, and then measure, monitor, predict and execute strategy against a nonstop flow of weather data.
Data scientists may be of a different breed from other analytics team members, but they are essential for bringing to the table curiosity about data and an unquenchable thirst for finding patterns and relationships in that data. Discover how combining the roles of data scientist, business analyst,