An open-source software platform called Apache Spark is growing rapidly in popularity as an essential platform for rapidly modeling, exploring and analyzing data. Here are nine reasons why developers and data scientists are primed to #SparkInsight with Spark.
New challenges and increased competition in an aviation industry that’s moving at Mach speed can leave some companies grounded. Find out how an innovative predictive maintenance solution can help jettison operational dead weight.
On Tuesday, I plunged right back into Spark Summit—which, if anything, was buzzing more vigorously with interesting content than it had been the day before. Not surprisingly, IBM’s Spark announcements were the talk of the show.
Successful implementation of product lines and good variant management can offer competitive advantages in many industries, allowing those who succeed at implementation to more quickly evolve their products and leverage product lines to meet dynamic market demands.
As the commercial aerospace industry faces a myriad of changes, all parties from providers to the airlines themselves must learn to deal with new pressures. A new solution can offer insight to help adjust to a swiftly expanding environment.
A growing body of fresh thinking is coming down the pike. Much of it will come from the droves of IBMer data scientists who participated in the recent and wildly successful internal Hack Spark Challenge, as well as ongoing IBM-sponsored hackathons, meetups and developer days focusing on Spark.
As the Internet of Things integrates itself into our personal and professional environments, managing its complexity has become a serious task. New advances in continuous engineering can help bring simplicity out of potential chaos.
The Internet of Things is becoming a part of everyday life, but its complexity can be daunting from an engineering standpoint. See how continuous engineering can help you manage the challenges surrounding the Internet of Things.
Speed seems to always be at least one of the key factors in the evolution of any technology. The in-memory, real-time processing capability of Spark is rapidly advancing fast-cycle big data processing that supports a broad range of workloads.
IBM made several, significant announcements signaling its commitment to providing an open, mature, innovative industry Apache Spark ecosystem to accelerate its adoption. Take a detailed look at why IBM is making a huge, strategic bet on Spark.
Apache Spark is at heart an open-source community, but it is going well beyond that identity to also develop into a substantial sector of the analytics market. However, Spark will not be able to achieve its full potential if a robust industry ecosystem does not develop around it.