Data Warehouse & Storage

Big Data & Analytics Maturity Model

August 15, 2014
This Big Data & Analytics Maturity Model helps organizations assess their current capabilities in order to generate value from big data investments in support of strategic business initiatives. It does so by forming a considered assessment of the desired target state, identifying gaps and provides guidance on the steps required to realize this end state. Read More

The big data jungle is coming to Vegas

August 14, 2014
In the world of big data, the elephant is king. Hadoop, whose elephant logo has become the face of big data, has been joined in the big data jungle by many friends: Pig, Jaql and even a ZooKeeper to keep them all in line. The entire big data jungle will be making a trip to Las Vegas in October for the world’s largest big data conference: IBM Insight. Read More

Build the next great app in the cloud

August 14, 2014
Think it, try it and build it with IBM Bluemix, a cloud-based developer sandbox for big data and data management services. Bluemix makes agile mobile and web app development with best of breed capabilities a reality. Read More

Seize your big data moment and benefit from Insight 2014

August 12, 2014
Insight 2014, formerly Information On Demand, will bring more than 13,000 business and IT professionals together to exchange ideas and share experiences around harnessing the data coming from all directions in real time. Read More

Wearables driving real-time actionable analytics into the modern lifestyle

August 7, 2014
Wearable devices are becoming central to the modern lifestyle. These new devices will be among the first places where users originate personal data. They will also become the ultimate membrane where people consume the big data-driven personalized guidance being delivered from the cloud. In the process of supporting myriad roles in users' lives, wearables will almost certainly cache working data sets that push more deeply into big data territory in terms of their volumes, velocities and varieties. Nevertheless, under any likely scenario, individuals' personal data clouds will undoubtedly hold far more on the volume side of the equation than people store locally today. Read More

An industry vertical analysis: Healthcare and big data

July 30, 2014
This new series covers big data adoption across multiple industrial sectors, as well as the defining big data elements and anomalies prevalent across each sector.  Read More

Get off the fence and get insight!

July 29, 2014
In the world of big data, the elephant is king. Hadoop, whose elephant logo has become the face of big data, has been joined in the big data jungle by many friends: Pig, Jaql and even a ZooKeeper to keep them all in line. The entire big data jungle will be making a trip to Las Vegas in October for the world’s largest big data conference: IBM Insight. Read More

Blistering fast SQL access to your Hadoop data

July 28, 2014
In the rapidly evolving SQL-on-Hadoop space, IBM’s Big SQL 3.0 moves the industry forward through its contributions in improving query performance and workload management, while maintaining compatibility with open source Hive and SQL standard. This blog gets under the hood to explain how Big SQL 3.0 delivers these optimizations.   Read More

A big data driven customer experience

July 17, 2014
Each month it seems like we hear automotive original equipment manufacturers (OEMs) reporting record growth, but what is driving this growth? Pent up demand? Attractive new products? Is the market actually growing, or could it be that the automotive industry is starting to use big data and analytics to better understand their customer, hat they want to buy, how they want to buy it and how they want to interact with their car and their car company? Read More

Innovative healthcare analytics on display in Chicago

July 9, 2014
I’m looking forward to the upcoming Healthcare Analytics Symposium in Chicago next week (July 14-16) led by Health Data Management. During this analytics focused conference, we will hear from innovators who are leveraging big data and analytics in a variety of ways to solve real problems that touch different parts of their organizations. Read More

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