- March 26, 2015
Cloud applications are no longer curious IT experiments -- now they're often on shortlists of deployment options.
- March 25, 2015
New database updates address large-scale applications. Included are Couchbase Server 4.0 with multidimensional scaling support and VoltDB 5.0 with links to Hadoop data streaming tools.
- March 09, 2015
As companies get a better handle on how to use big data wisely, a new effort on interoperability for Hadoop projects gets a mixed reaction.
- March 02, 2015
Hadoop vendor MapR's latest release puts the focus on database replication across data centers. Also, Microsoft has built a Python-friendly Azure service for machine learning in the cloud.
- February 24, 2015
The Open Data Platform has arrived, but not all Hadoop vendors are on board. The initiative, aimed at boosting interoperability, formed a backdrop for discussion at the Strata + Hadoop World 2015 conference.
Sponsored by Intel - Hyperconverged infrastructure promises to make organisations more agile and cost-effective, with new storage technologies replacing legacy systems within a high-performance software-defined IT architecture. See More
Sponsored by CloudHealth - As enterprises continue to add new use cases and workloads to their cloud portfolio, the stakes keep rising for potential governance speed bumps. Business users and IT professionals alike are now using the cloud for everything from compliance and security to cloud-native application development and infrastructure optimization. But this makes policy management more difficult, time consuming and costly, especially with so many cloud services being purchased and deployed outside the scope, visibility and control of a centralized IT operations group. See More
Sponsored by Intel - It’s a modern truism that there’s no such thing as digital transformation―only business transformation in the digital age. But one technological factor is common no matter which terminology you prefer: Making the right use of the cloud for your organisation is essential. See More
Sponsored by CloudHealth - In the era of Cloud 1.0, early adopters were often drawn to the cloud because it allowed them to reduce Capex and move to a more predictable subscription pricing model. In recent years, cloud adoption has surged because organizations have recognized that it not only reduces their hardware purchases and per-seat software licenses but provides many operational benefits as well. See More
- February 20, 2015
Building and running enterprise Hadoop applications takes more than data crunching. First, Hadoop data must be absorbed into company processes, a Western Union IT manager says.
- February 17, 2015
In a Q&A, Forrester analyst Mike Gualtieri said Hadoop-based data lakes can become an alternative to enterprise data warehouses. But first, faster I/O and better data governance are needed.
- February 09, 2015
With digital records finally the norm in healthcare organizations, providers are today looking at how to use that data to help achieve more positive medical outcomes.
- February 06, 2015
A new Gartner report says the storage repository isn’t the trouble-free panacea many observers hail it to be. New data governance practices -- and new skills -- are critical.
- January 30, 2015
Hortonworks forms a data management initiative with Merck and others. Meanwhile, SQL and NoSQL may blur a bit.
- January 22, 2015
An update to Oracle's GoldenGate replicator is on tap. And, Xplenty and Segment connect on Hadoop processing in the cloud.
- January 20, 2015
Watson Analytics and a Watson school competition look to bring IBM cognitive computing initiatives to the commercial sphere.
- January 16, 2015
Don't let the buzz around analytics fool you. Solid data management capabilities are required to enable advanced analytics, as an example from the healthcare sector attests.
- January 06, 2015
Hadoop clusters, NoSQL databases and other modern technologies have roles to play in business intelligence and analytics environments. But traditional data warehouses still do, too.
- December 19, 2014
Implementing rules for detecting and cleansing incorrect data is almost always done by BI specialists and not by business users themselves. Is that going to change with the introduction of ...