Blogs

Analytics and the cloud: A perfect match

Analytics and the cloud: A perfect match

February 7, 2017 | by Steven Lockwood, Executive Information Architect, IBM
This is the first in a sequence of blogs that takes a peek at what is driving analytics onto the cloud, what are the challenges that will need to be overcome over the next 5 years and how they will be tackled.

5 key attributes of effective data monetization strategy

February 6, 2017 | by Karan Sachdeva, Sales Leader Big Data Analytics APAC, IBM
In cognitive computing era, new revenue generation stream has emerged with data at center of the modern digital business model. One of the key capabilities cognitive computing enables for an organization is the ability to generate additional revenue streams by using data effectively. In the big...
IBM’s big data meetup program approaches a significant milestone

IBM’s big data meetup program approaches a significant milestone

February 3, 2017 | by Nancy Berlin, WW Event Manager, Analytics Platform Services, IBM
IBM’s community of big data developers continues to grow. As our Big Data Developer meetup program moves into its fifth year, this worldwide community of customers, partners and IBM developers is on the verge of enlisting its 100,000th member—when we published this blog, we counted 99,100. 
Stream processing and the IBM Open Platform

Stream processing and the IBM Open Platform

Choosing the right engine for real-time data processing with Hadoop

January 27, 2017 | by Andrea Braida, Portfolio Marketing Manager, IBM
Analyzing streams of big data in real time can have a big impact on competitive advantage. In a world of bewildering stream processing engine choices, explore the use-case-dependent alternatives that can provide well-suited business outcomes, courtesy of expertise from Roger Rea and Jacques Roy.
Internet of Things: Setting business vision on speed and agility

Internet of Things: Setting business vision on speed and agility

January 27, 2017 | by James Kobielus, Big Data Evangelist, IBM
Internet of Things data, devices and technologies are evolving into a core platform that is expected to impact business flexibility and more. Take a look at some key comprehensive best practices for Internet of Things–enabled application development that can put speed and agility into your business...
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...

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