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Organizations that have adopted Macintoshes as their primary platform have long suffered when it comes to enterprise class data management tools. ...

Organizations that have adopted Macintoshes as their primary platform have long suffered when it comes to enterprise-class data management tools. Low market share, Apple's lack of enterprise focus, and a Mac system admins lack of knowledge of what they were missing have left this niche underserved. Seeing this opportunity, Atempo and BakBone Software ported their backup applications to OSX a couple of years ago and now Atempo's spread Macintosh support across its whole product line.

Oracle saved the biggest news for last at its OpenWorld conference in San Francisco. CEO Larry Ellison took the stage Wednesday afternoon to announce two hardware products developed with Hewlett-Packard that are designed to provide very high performance for data warehousing applications.

As much as companies are talking of committing to Business Intelligence principles in their daily work, the concept of BI still seems too utopian and vague to be successfully implemented throughout an enterprise. It’s probably not that the definition is vague, it’s that the practical side will differ a bit depending on companies’ needs.

The one thing that is more or less universal and requires the utmost attention in all cases is data quality.

Whether your data is already ‘dirty’ and needs to be reviewed on regular basis, or whether there is no systematic process for checking it within your company, sooner or later you realize that something about your data needs to be fixed. Some companies prefer to conduct regular automatic check ups, others choose to apply filtering techniques before the information even enters internal databases, one way or another, enough solutions already exist to help you make that first step into the world of BI and make it right.

One of BEYE bloggers recently posted his list of the top ten things BI lacks. Aside from data quality he singles out such foundational aspects of BI as the problem of structured and unstructured data, valuation techniques, Predictive Analytics / Data Mining, technology limitations, simulations, on demand analytics, etc. The the list will vary slightly from one company to another, but making one and working towards perfecting your Business Intelligence strategy through it is certailny helpful. No one can tell you how rewarding it is, you can only feel it for yourself while gradually putting “taken care of” or “implemented” next to each item from the list.

Today's announcement supports Oracle's strategy of delivering complete, integrated and end-to-end product suites on an open, standards-based middleware and ...

"They used to be so database and middleware centric, but with BEA (the largest of this year's acquisitions) in particular there are a huge number of ...

By Rich Seeley, News Writer Fusion Middleware in the Amazon Cloud, and updated Java development tools for the newly integrated BEA technology, including the ...

Since the initial Oracle Fusion Middleware strategy briefing in July, Oracle executives have participated in strategy briefings in 70-cities, visiting more ...

Customers, including American Electric Power (AEP) and Electrabel (GDF SUEZ Group) have selected Oracle Utilities Meter Data Management to support the ...