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.

Driving in-memory data warehousing into the big data cloud

Driving in-memory data warehousing into the big data cloud

July 27, 2015 | by James Kobielus, Big Data Evangelist, IBM
The modern data warehouse (DW) lives in the cloud and is rapidly evolving into an in-memory platform for high-performance in-database analytics. As evidenced by IBM’s launch last year of dashDB and the latest enhancement release to the service, the fully managed in-memory cloud DW is already a...

How Spark is tuning up the logical data warehouse

July 21, 2015 | by James Kobielus, Big Data Evangelist, IBM
Apache Spark will become a core technology in the logical data warehouse (LDW), and its sweet spot is as the workbench of choice for data scientists who interactively and iteratively explore, build and tune statistical models for machine learning, graph and streaming analytics.
Developing on-demand streaming analytics in the cloud

Developing on-demand streaming analytics in the cloud

July 20, 2015 | by James Kobielus, Big Data Evangelist, IBM
Streaming analytics and cloud analytics are increasingly intermingling in an era of rising on-demand business operations. Analysis of Internet of Things data and other streaming, machine-data analytics environments are opening tremendous opportunities for real-time demand forecasting, preventive...
Measuring the artificial intelligence quotient

Measuring the artificial intelligence quotient

July 9, 2015 | by James Kobielus, Big Data Evangelist, IBM
If we’re going to do the Turing Test right, we might as well use the same intelligence tests we apply to humans. Only by doing so will we ever have a sound basis for claiming that machine are more (or less) intelligent than people.
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.

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