Blogs

How to get started with Apache Spark today

How to get started with Apache Spark today

May 27, 2015 | by James Kobielus, Big Data Evangelist, IBM
An increasing number of use cases for big data and analytics can be Apache Spark's sweet spots. Take a look at several low-latency applications in which Spark is well-suited for analysis of cached, live data.
Taking the next step toward text analytics

Taking the next step toward text analytics

May 18, 2015 | by Jacques Roy, WW Technical Sales - Big Data: InfoSphere Streams, Informix TimeSeries, IBM
Even when learning a new language, becoming fluent within certain contexts can be easier than other contexts. When analyzing textual data, context is imperative to understand that data. And like corpora developed for linguistics research, a simple and straightforward conversion of textual data...
Apache Spark and the power of openness

Apache Spark and the power of openness

May 15, 2015 | by James Kobielus, Big Data Evangelist, IBM
The drive toward industry openness continues at full speed, and Apache Spark is expected to become one of the centerpieces of the big data industry fabric. As a closely aligned technology with Apache Hadoop, it stands to benefit from broad adoption of core open data platform technologies.
Hadoop: A quick and easy guide to this flexible framework

Hadoop: A quick and easy guide to this flexible framework

May 11, 2015 | by Bernard Marr, Best-Selling Author, Keynote Speaker and Leading Business and Data Expert
Apache Hadoop has been around for a decade, but what is it exactly? Get a quick primer on Hadoop’s four key modules and how they enable this open source framework to handle storage for massive volumes of big data that can used for advanced analytics.
The power behind Apache Spark

The power behind Apache Spark

May 8, 2015 | by James Kobielus, Big Data Evangelist, IBM
Poised for widespread commercial adoption, Apache Spark is drawing a lot of attention with its ability to perform advanced in-memory analysis of cached, unstructured data in an open source distributed-computing framework.
How students in Saudi Arabia are using analytics to create industry solutions

How students in Saudi Arabia are using analytics to create industry solutions

April 30, 2015 | by Jennifer McGinn, Big Data Product Marketing Manager, IBM
Big data is not restricted to the domain of business users. Discover how a group of women attending a Saudi Arabia university articulated big data concepts into innovative solutions for helping business users uncover insights.
The resurgent relevance of the data warehouse

The resurgent relevance of the data warehouse

April 23, 2015 | by James Kobielus, Big Data Evangelist, IBM
The data warehouse has never been more relevant than it is now. The DW’s role in the big data universe appears likely to grow. What the DW does, above all else (and this is far from its only role in many organizations) is serve as hub for governing your system-of-record data to be delivered into...
How the Open Data Platform is driving Hadoop's maturation

How the Open Data Platform is driving Hadoop's maturation

April 14, 2015 | by Joel Horwitz, Director of Marketing for IBM Big Data & Analytics, IBM
The time has come for the analytics industry to work together to harden the Hadoop platform with a shared vision and foundation to build on to move forward. Open standards that are common to all solution providers are a path in the right direction. Enter the Open Data Platform (ODP) group of Hadoop...
Develop a better world with Hadoop

Develop a better world with Hadoop

April 3, 2015 | by Jason Burns, ITSO Social Business Manager, IBM
How would you save the world? That’s the question we posed to the development community several months ago when we launched our Hadoop4Good Campaign.

Changing what we know (and do) about the weather

March 31, 2015 | by Andy Rice, Vice President, Product and Analytics, The Weather Company
I have been in the weather and meteorological solutions industry for 15 years, but in the last five years I’ve witnessed an amazing transformation.

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