Blogs

James Kobielus
Big Data Evangelist, IBM

As IBM's big data evangelist, James Kobielus is IBM Senior Program Director, Product Marketing, Big Data Analytics solutions. He is an industry veteran, a popular speaker and social media participant and a thought leader in big data, Hadoop, enterprise data warehousing, advanced analytics, business intelligence, data management and next best action technologies.

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.
The Spark that ignites the insight economy

The Spark that ignites the insight economy

June 15, 2015 | by James Kobielus, Big Data Evangelist, IBM
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.
The emergence of a diversified industry ecosystem around Spark

The emergence of a diversified industry ecosystem around Spark

June 15, 2015 | by James Kobielus, Big Data Evangelist, IBM
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.
Spark delivering value in the real world here and now

Spark delivering value in the real world here and now

June 15, 2015 | by James Kobielus, Big Data Evangelist, IBM
The increasing range of practical applications for Spark the world over shows the power of even a dash of Spark. No matter where it’s used, Spark ignites a fusillade of data-driven ingenuity.
Hadoop Summit 2015, Day 3: Passing the torch to Apache Spark

Hadoop Summit 2015, Day 3: Passing the torch to Apache Spark

June 12, 2015 | by James Kobielus, Big Data Evangelist, IBM
Something palpable was in the air at Hadoop Summit 2015 that confirmed a new next-big-thing in big data analytics is on the horizon. As this year’s Summit drew to a close, the community enthusiastically looks forward to the emergence of Spark.
Machine learning and the Spark of accelerated insight

Machine learning and the Spark of accelerated insight

June 12, 2015 | by James Kobielus, Big Data Evangelist, IBM
Scaling big data analytics applications is expected to become impractical given the rate of increasing volumes, heterogeneous varieties and velocities of data. Continued advances in machine learning are critical to enable data scientists to automatically generate machine learning models for rapidly...
Building a strong foundation for Hadoop with the Open Data Platform initiative

Building a strong foundation for Hadoop with the Open Data Platform initiative

June 11, 2015 | by James Kobielus, Big Data Evangelist, IBM
Hadoop’s commercial maturation took a big leap forward with the recent establishment of the Open Data Platform (ODP) group, which has created a common interoperability framework. ODP provides users and ISVs with assurances that there is a tested Hadoop core, allowing them to focus on building value...

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