Amazon launches workflow orchestration service
Users of Amazon Web Services will soon be able to orchestrate workflows across different AWS services and their own internal resources, using a new orchestration engine called the AWS Data Pipeline.
Users of Amazon Web Services will soon be able to orchestrate workflows across different AWS services and their own internal resources, using a new orchestration engine called the AWS Data Pipeline.
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.
With the commercial release of version 5 of its self-named reporting and analysis suite, Jaspersoft has revamped the software's visualization engine, doing away with an Adobe Flash-based visualization engine in favor of one using HTML5 Web standards.
The promise of big data is enormous, but it can also become an albatross around your neck if you don't make security of both your data and your infrastructure a key part of your big data project from the beginning. Here are some steps you can take to avoid big data pitfalls.
Facebook has beaten some of the limitations of the Apache Hadoop data processing platform, its engineers assert.
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.
At IBM's Information On Demand and Business Analytics Forum, being held this week in Las Vegas, the company announced a number of new add-ons and services designed to help organizations analyze their expanding data sets more quickly.
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?
Whether your company is maintaining physical infrastructure under contract or simply managing field assets as part of an ongoing business, the heightened role of asset management information systems has been well established as part of the CIO’s responsibility.
The proliferation of large-scale data sets is just beginning to change business and science around the world, but enterprises need to prepare in order to gain the most advantage from their information, panelists said at a Silicon Valley event this week.
The Greenplum division of EMC is building a single data analytics platform that can crunch both structured and unstructured data and give a broad range of users the tools to study an enterprise's information.
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:
Everyone is a trend watcher. But at a certain point, to determine which trends will actually weave their way into the fabric of business computing, you need to first take a hard look at the technologies that gave life to the latest buzz phrases.
For the last few years, the world of NoSQL databases has been filled with exciting new projects, ambitious claims, and plenty of chest beating. The hypesters said the new NoSQL software packages offered tremendous performance gains by tossing away all of the structure and paranoid triple-checking that database creators had lovingly added over the years. Reliability? It's overrated, said the new programmers who didn't run serious business applications for Wall Street banks but trafficked in trivial, forgettable data about people's lives. Tabular structure? It's too hidebound and limiting. If we ignore these things, our databases will be free and insanely fast.