Blogs

Success factors for a digital business

Success factors for a digital business

July 1, 2015 | by Jonathan Sloan, Business Analytics Executive Consultant, IBM
As opposed to big data, which focuses on analysis of large and varied types of content, the concept behind digital business is the convergence of historical, real-time and mobile proximity data that offer fleeting digital business moments that can be taken advantage of by a digital business. This...
Spark and Hadoop: Taking big data to the next level

Spark and Hadoop: Taking big data to the next level

June 30, 2015 | by Peter Schlampp, Vice President of Product, Platfora
Spark is one of the key enablers of Hadoop’s journey from the Trough of Disillusionment to the Plateau of Productivity. Together, Spark and Hadoop are taking big data to the next level.
But what if I don’t want to become a digital business?

But what if I don’t want to become a digital business?

June 29, 2015 | by Paul DiMarzio, Worldwide Portfolio Marketing Manager, IBM z Systems Big Data and Analytics, IBM
Face it. Competing digital businesses are very likely coming to your industry. Why resist the digital business model? Consider an incremental transition and change your mindset.
Developing the big data and analytics maturity model

Developing the big data and analytics maturity model

June 29, 2015 | by Niall Betteridge, Executive IT Architect, IBM
The big data and analytics maturity model gives business-driven enterprises a framework for a flexible, coherent approach to big data and analytics. See what drives the evolution of this model to offer organizations insight through a real-time, actionable context.
Do digital business, big data and the Internet of Things play well together?

Do digital business, big data and the Internet of Things play well together?

June 24, 2015 | by Mark Simmonds, Senior Product Marketing Manager, IBM
Two years ago, everything was big data—nothing else mattered. And big data was and today still is the foundation for a successful business analytics strategy. Without data, you have no analytics. But with big data, you have the potential for great analytics. Why? Because big data is all types of...
Spark and the crux of differentiation

Spark and the crux of differentiation

June 23, 2015 | by James Kobielus, Big Data Evangelist, IBM
IBM is investing deeply in Spark in a wide range of long-term initiatives. Discover how IBM’s long history of joining powerful, innovative open-source projects allows it to create markets by contributing significant technological improvements and supporting business solutions.
9 reasons why developers and data scientists are primed to spark insight with Spark

9 reasons why developers and data scientists are primed to spark insight with Spark

June 19, 2015 | by James Kobielus, Big Data Evangelist, IBM
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.
Spark Summit 2015, Day 2: A gathering of today’s most dynamic data scientists

Spark Summit 2015, Day 2: A gathering of today’s most dynamic data scientists

June 18, 2015 | by James Kobielus, Big Data Evangelist, IBM
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.
Spark Summit 2015, Day 1: Energizing a new wave of data scientists

Spark Summit 2015, Day 1: Energizing a new wave of data scientists

June 17, 2015 | by James Kobielus, Big Data Evangelist, IBM
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.
Spark speeds towards the next data processing revolution

Spark speeds towards the next data processing revolution

June 15, 2015 | by Timothy A. Howes, Chief Technology Officer, ClearStory Data
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.

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