Blogs

Charting the data lake: Rethinking data models for data lakes

Charting the data lake: Rethinking data models for data lakes

January 16, 2017 | by Pat O'Sullivan, Senior Technical Staff Member, IBM Analytics
Data models for developing data warehouses need to evolve for managing and defining data lakes. This first installment of a blog series on charting the data lake introduces the potential role of data models in data lake environments and how they need to take an active role in defining and managing...
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."
The big data challenge of transformation for the manufacturing industry

The big data challenge of transformation for the manufacturing industry

January 3, 2017 | by M. Ahmad Shahzad, Business Development Executive – Analytics, Industrial Markets, IBM
The manufacturing industry finds itself embroiled in major changes these days, and analytics, cloud-based technologies, the Internet of Things and volumes of data are fueling its metamorphosis. See how manufacturing companies are shifting resources toward value-add processes such as...
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...
Riding the wave of digital disruption with real-time cognitive insight

CIO Insights: Riding the wave of digital disruption with real-time cognitive insight

December 22, 2016 | by Anthony Paris, Global Client Reference Manager, IBM
Businesses that engage in digital transformation can transform their activities, processes and models to fully leverage opportunities provided by advanced digital technologies. See how a telecommunications provider built a real-time big data analytics platform that harnesses the power of cognitive...
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...

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