07 Mar 2014 Sports teams embrace data analytics techniques (SearchBusinessAnalytics.com)
The world of sports is rapidly embracing data analytics techniques. Businesses have a lot to learn from professional teams' experiences.
Panelists at last month's Strata event viewed Hadoop best practices for production as part of a journey from proof of concept to operations workhorse.
Hadoop 2's new YARN resource manager ends the distributed processing framework's marriage to MapReduce. And that broadens what Hadoop systems can do.
Eyes open: Don't lose sight of data visualization best practices (SearchBusinessAnalytics.com)
Data visualization tools are becoming more and more common in organizations. But it's easy to go awry on visualization efforts if you aren't careful.
Data visualization tools help users make sense of messy data (SearchBusinessAnalytics.com)
Visualizing data makes it easier to grasp. But there's more to selecting and deploying data visualization software than creating catchy graphics.
05 Mar 2014 Self-service analytics tools have value, carry risks (SearchBusinessAnalytics.com)
There are risks to be aware of when business users take responsibility for self-service business intelligence, but there are ways to mitigate them.
In many companies with big data projects, Hadoop clusters are moving toward peaceful coexistence with data warehouses and data governance efforts.
In an interview, author and data quality architect Laura Sebastian-Coleman discusses steps organizations should take to improve data quality levels.
Magic Quadrants focus on data discovery tools in this news recap (SearchBusinessAnalytics.com)
Data discovery tools are a high priority for businesses, but vendor products can be lacking, the latest Gartner Magic Quadrants say.
Big data analytics applications pull business value from info vaults (SearchBusinessAnalytics.com)
Just collecting pools of big data won't get you very far with business execs. Don't go into a big data project without a plan for analyzing that data.
Big data applications add a variety of technology options to consider. And for many companies, one big data horse won't be enough to carry the load.
Data quality and integration need continual attention in business intelligence systems. But be sure you can avoid setbacks and keep moving forward.
27 Feb 2014 Hadoop 2 puts big data environment on friendlier analytics turf (SearchBusinessAnalytics.com)
Separating resource and application management in Hadoop 2 improves the framework's ability to support data analytics, says consultant David Loshin.
Hadoop 2 opens new vistas beyond current UK data management practice (ComputerWeekly.com)
Hadoop 2 enables a greater range of data-crunching tasks, beyond Hadoop’s previous scope of batch processing, directly within the stack itself
A digital marketer finds an Aerospike in-memory store can drive near-real-time marketing decisions; and a look at cloud data and new big data measures.
IBM Power System longevity tied to Watson, SoftLayer and big data (SearchDataCenter.com)
IBM Power servers may have a new lease on life now that Watson platforms, SoftLayer cloud and big data are tied to the systems.
14 Feb 2014 Revolution brings R programming language to AWS, plus SAS on Hadoop (SearchBusinessAnalytics.com)
Revolution Analytics brings the R programming language to the cloud, while SAS readies a new in-memory analytics platform to run on Hadoop.
Top Data Management Story
Hadoop 2 release adds potential uses -- and new issues to consider SearchDataManagement.com | 17 Oct 2013
Hadoop is finding uses as a batch-processing engine and big data landing pad. Version 2 heralds wider applications, but new users face challenges.