Blogs

10 expert tips to boost agility with Hadoop as a service

10 expert tips to boost agility with Hadoop as a service

January 11, 2017 | by Andrea Braida, Portfolio Marketing Manager, IBM
In a recent CrowdChat discussion, a group of Hadoop and Spark subject matter experts from the IBM Analytics group discussed using cloud-based Hadoop and Spark services as a lever for business agility. From their contributions we drew ten hot topics and themes for experts in all areas of the big...
How to build an all-purpose big data engine with Hadoop and Spark

How to build an all-purpose big data engine with Hadoop and Spark

Interview with Rohan Vaidyanathan and Niru Anisetti

January 4, 2017 | by Andrea Braida, Portfolio Marketing Manager, IBM
Some organizations misunderstand the optimized way to use Hadoop and Spark together, primarily because of their complexity. But investing in both technologies enables a broad set of big data analytics and application development use cases. See what Niru Anisetti and Rohan Vaidyanathan have to say...
The Big Data Dudes and the Lost in Las Vegas Mystery feature film

The Big Data Dudes and the Lost in Las Vegas Mystery feature film

January 4, 2017 | by Aaron Ritchie, Big Data Curriculum Developer and Big Data Dude, IBM
Ever hear of the Big Data Dudes? If not, crawl out from under that rock and see what these intrepid big data and analytics heroes are up to in their latest analytics blockbuster, "Big Data Dudes and the Lost in Las Vegas Mystery."
How to navigate—and conquer—the world of Hadoop and Spark

How to navigate—and conquer—the world of Hadoop and Spark

Interview with Julie Elliot and Mike Ashwell

December 22, 2016 | by Andrea Braida, Portfolio Marketing Manager, IBM
IBM has identified a number of common problems that many businesses find themselves facing in their various stages of Apache Hadoop and Apache Spark adoption. As a result, IBM has developed a set of support services to help customers accelerate time-to-value outcomes and reduce risk when building...

Case in point: Verizon’s cognitive journey and the customer experience

December 15, 2016 | by Preetam Kumar, Product Marketing Manager, IBM Analytics, IBM
Without question, our lives are very different from only a couple decades ago, thanks in part to some pretty amazing technology advances including smartphones and other devices, mobile apps, an ever-growing array of social channels and more. Take a look at how one telecommunications organization...
Hadoop and Spark coaches: Training and insights for all maturity levels

Hadoop and Spark coaches: Training and insights for all maturity levels

December 15, 2016 | by Andrea Braida, Portfolio Marketing Manager, IBM
At the core of many big data architectures is Apache Hadoop and Apache Spark. Organizations adopting these technologies for their big data journey are nevertheless at different levels of maturity. Hear what Prasad Pandit had to say in an interview with Andrea Braida about how IBM is evolving its...
Machine learning: The big draw at a big Beijing, China event

Machine learning: The big draw at a big Beijing, China event

December 12, 2016 | by Steve Moore, Senior Story Strategist, IBM
One thing that a recent event in Beijing, China confirmed is there’s no shortage of interest in machine learning for developers in that region. Take a look at snapshots of event highlights featuring rich content on artificial intelligence, cognitive capabilities, machine learning and more presented...
Gauging your organization’s readiness to drive digital disruption

Gauging your organization’s readiness to drive digital disruption

December 9, 2016 | by James Kobielus, Big Data Evangelist, IBM
Businesses have come to expect that smart rivals wielding digital technologies will disrupt their competitive landscapes. How ready is your organization to be a digital disruptor? Take a look at detailed criteria for assessing your organization’s readiness and the strategic steps you can take to...
Experimenting with Hadoop is now easier than ever before

Experimenting with Hadoop is now easier than ever before

Interview with Ayesha Zaka

December 7, 2016 | by Andrea Braida, Portfolio Marketing Manager, IBM
Many forward-thinking organizations want to investigate how big data analytics helps them outthink and outperform the competition. However, many also are challenged with finding the right talent to run the operations, keep the data secure and figure out how to leverage the myriad tools at their...
Big data and analytics trends in 2017: James Kobielus’s predictions

Big data and analytics trends in 2017: James Kobielus’s predictions

December 5, 2016 | by James Kobielus, Big Data Evangelist, IBM
IBM expert James Kobielus offers his annual predictions for the new year that’s right around the corner. See what trends will define big data and analytics in 2017 and beyond.

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