Web Giants Join Forces for Open Source MySQL Scalability Project
Engineering teams from Facebook, Google, LinkedIn and Twitter have begun work on WebScaleSQL, an open source project designed to address the challenges of running MySQL at Web scale.
Engineering teams from Facebook, Google, LinkedIn and Twitter have begun work on WebScaleSQL, an open source project designed to address the challenges of running MySQL at Web scale.
Data brokers operate in the shadows of the Internet. Most consumers are unaware or unsure how to put restrictions of their activity. In fact, one U.S. senator called these companies and their practices 'the dark underside of American life.'
The promise of big data in healthcare--increased efficiencies, better outcomes, more personalized care--is undeniable. How the industry reaches the promise land will happen in many stages, but hospitals and insurers aren't wasting any time getting started.
Strip away preconceptions about why technology doesn't or shouldn't work and people are likely to embrace the change that tech brings. That's what electronic health record and practice management software vendor athenahealth learned when it helped a hospital in Haiti implement a cloud-based EHR system.
When it comes to backup and recovery, IT is struggling to meet business demand within most enterprises--and the problem stands to get only worse. EMC believes the answer is a more open and agile protection storage architecture.
CIOs in the food and pharma industries confront unique challenges in untangling complex supply chains to ensure product safety and availability.
Your company is doomed to fail if 'the biggest jerk at the table' makes all the decisions in spite of comprehensive data analysis. EMC and its customers are taking analytics seriously, CIO.com columnist Rob Enderle says. You should, too. It's a lesson Mitt Romney learned the hard way.
Walt Hauck, the straight-talking CIO of Dun & Bradstreet, says big data represents a corporate turning point this decade no less disruptive and revolutionary than the Internet in the 1990s. Find out why Hauck thinks the big data 'haves' will thrive while the 'have-nots' struggle.
Big data is giving rise to a new breed of services aimed at helping over-burdened IT departments take on the challenges of data analytics without investing in additional infrastructure. And vendors of all sizes are getting in on the action.
You name it, the government has a pile of data about it: genomics, energy use, the weather and more. Various open data and big data initiatives at the federal government aim to make this information available to anyone who wants it. Can the inherent complexity of big data analytics and the promise of open government coexist?
As we end a transformational year in enterprise tech, you may wonder: What next? I think these 10 trends will reshape business and the CIO role:
The Project: Implement a hypervisor-based replication system to provide more streamlined business continuity and disaster recovery for Woodforest National Bank's virtualized data center.
Forrester estimates that, in general, firms use less than 5 percent of the data available to them. We also estimate that data is growing about 40-50 percent annually, but the average enterprise only captures around 25-30 percent of that. This means there is a bunch of data not being captured and used by your firm, and the divide is going to grow over time. So what?
Scenario A large financial services company is having fundamental problems with its data management and governance. Business leaders want to better leverage data for both operational and analytical needs, so there is widespread support for finally treating it as a true corporate asset. Consolidating data sets is now high on everyone's priority list. Both the CIO and CTO believe they need to adopt master data management (MDM) in some key areas but recognize that it's more critical to establish an overall data strategy. What's the most effective way for these IT leaders to move this forward?
Scenario: After driving great improvements in IT efficiency, a Fortune 500 company is now ready to treat data as a true corporate asset and grow beyond its tactical approach to technology planning. The CIO needs to develop strong data governance and data-management capabilities, and, most importantly, a long-term technology strategy. Yet she doesn't have the skilled staff for this kind of work. What's the best way to accomplish this part of the plan?