From the general session to the Hack the Weather finals, attendees at Insight 2015 enjoyed an embarrassment of riches on day two of the conference. Read on for a rundown of the sessions and events that made the second day of Insight a resounding success.
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
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.
Find out how Day 3 of the conference offered insight into how data scientists have benefited from the latest approaches to web-scale analytics, including open sourcing of the System ML machine learning library to help the Spark community.
In weather prediction, the past holds the key to the future, allowing businesses to predict future changes in both the short term and long term. In particular, organizations can use market-level analytics to take stock of how weather affects consumer behavior, helping drive the business forward.
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
Attendees on Day 2 of Strata + Hadoop World were treated to a range of speakers from various industries, as well as important keynotes and interviews that focused on critical data-related topics. Read about these and other highlights from that day's sessions.
The data science revolution is bringing a shift in the direction of the cloud—and with it a sea change in the roles of IT professionals. Discover how focusing on data science can help you keep your career afloat in a changing business environment.
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.