Vendors scramble to help enterprises move their Big Data analytics to the cloud in an exploding market.
It features speedier queries, improved query-dependent allocation of resources and better SQL-on-Hadoop functionality.
Hadoop connectors are now available for Google Cloud Storage, BigQuery and Cloud Datastore.
SAS this week announced updates to its data management software that include Big Data virtualization.
Some major investors this week infused Cloudera with $160 million in funding, much of which the company said will be used to invest in engineering resources to extend its Apache Hadoop community contributions.
To generate interest in its enterprise-class Watson supercomputer platform now being offered as a service, IBM is encouraging mobile app developers to harness its "cognitive computing" power in a developer challenge contest.
NetApp recently announced unified, scale-out storage systems designed to let enterprises manage and control data via one storage and data management platform.
We look at impact of mobile, cloud, big data, and social media on IT in 2012 and how the technologies will be important in 2013.
Cloud computing, mobile applications, and big data coalesced in 2012 and will shape IT in 2013 and beyond.
Not surprisingly, big-data-a-la-Big-Blue has a distinctly dollars-and-cents flavor to it.
Cut the cost and improve the accuracy of SAP system copy chores.
What you need to know about Hadoop benefits, scalability, and best practices.
Social content is rich with information, but integrating it with other enterprise data can leave it isolated and unused. We explore how to wisely integrate the two.
Although relational databases will continue to be used for high-speed online transaction processing, conventional relational databases have clearly exhausted their usefulness for business analytics. What’s ahead for database technology?
Tight budgets led to look closely at the cloud and encryption solutions. What will grab IT’s attention in 2012?
Disaster recovery is a growing part of IT's budget, but IT still needs quicker, more efficient, and more affordable backup and recovery solutions into one seamless process.
IBM and Oracle aren't the only games in town when it comes to getting data into -- and out of -- mainframe environments.
Updating applications with current technology means IT must make sure no data is left behind.
What is unstructured data and how should IT search on and store it?
Users can execute fast, accurate file data migrations seamlessly