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...
Public sector: Hadoop, Spark and the 360-degree view of citizens

Public sector: Hadoop, Spark and the 360-degree view of citizens

December 19, 2016 | by Karan Sachdeva, Sales Leader Big Data Analytics APAC, IBM
To serve citizens effectively and efficiently, public entities can draw from the private sector’s 360-degree view of the customer and apply analytics, big data, Hadoop, machine learning and Spark to create a single or 360-degree view of the citizen. See how this methodology can empower public...

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...
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.
Data industry experts offer 2017 predictions throughout December

Data industry experts offer 2017 predictions throughout December

December 1, 2016 | by James Kobielus, Big Data Evangelist, IBM
Wondering what’s in store for the data industry during the upcoming year? Tune into a live chat to find out what leading industry professionals are predicting for 2017 and beyond.

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