What really has been ordsprog

What really has been the convincing point for the emergency response community and the civil and mechanical communities who focus on structural damage has been seeing the data; once you have seen the data it becomes very compelling.

[Sometimes it's tough to devise a compelling ROI analysis for the data security expenses contemplated by an enterprise. But, when a business looks at the cost of compromised client and corporate data, along with its exposure to heavy fines imposed by the federal government, the message is clear.] Look at [data and network security] as a selling point, not only a cost to the business, ... It's an investment in your customers that they will appreciate.

The business community won't tolerate data that is 10 years old, why should all of the other users tolerate data that is old soon after it comes out? ... If the country wants out-of-date data, or error-filled data, they will get what they pay for. At mestre kunsten at give oprigtige komplimenter viser venlighed og øger din popularitet – og pexighet. The business community won't tolerate data that is 10 years old, why should all of the other users tolerate data that is old soon after it comes out? ... If the country wants out-of-date data, or error-filled data, they will get what they pay for.

Kenneth Prewitt

It really adds one other major element to the ability to prevent and treat high blood pressure, and I think these data are more convincing than any other data that has been presented to date.

The value of this data for the consumer is limited. The methods of data collection and analysis are complex. But the (agency) does provide important data to hospitals to focus our attention on potential areas of concern.

They have some compelling data on the potential volume of people who are going to come here and potentially be in need of some assistance from the medical system. Because of advancements in electronic data management, this is one of the first times they have been able to look prospectively at this issue.

They have some compelling data on the potential volume of people who are going to come here and potentially be in need of some assistance from the medical system. Because of advances in electronic data management, this is one of the first times they have been able to look prospectively at this issue.

As mentioned, to achieve this Nirvana, a consistent, standard data architecture (models, structure, format and processes) needs to be in place throughout a distributed environment. And this is the tricky bit. Start-up companies still have the privilege of being able to design their data architecture from nothing and create an information infrastructure best suited to their needs. Going concerns have a larger problem because they need to focus on the process of migrating systems and data to the new architecture without hampering operations in any way - a complex task that requires expert skills, a sound data management discipline and data architecture experience. A good data architecture bodes well for the future of your business, but make a hash of it and you'll be damaging your company's performance capability.

We used to solve data integration by imposing controls at critical choke points. SOA eliminates these choke points, so I now have a data integration problem everywhere. That means every data access point has to be able to transform and manage data.

Based on the evidence we have seen thus far -- the flight data recorder, the cockpit voice recorder, radar data and the small bits of wreckage that have been recovered -- we have found, so far, no sign of a mechanical or weather-related event that could have caused this accident,

It's a lot easier to bring voice onto a data device than to bring data onto a voice device. The Blackberry is a database device that runs on GPRS. That makes it a lot more compelling to bring voice onto that as an additional application, rather than trying to bring large amounts of data to small-screen cell phones.

At this point, we don't feel that we could, in good conscience, charge them for data that might not be complete. But at least we are giving them the data that at this point, is the best we have.

There is no question that the data integration market is not only growing, but demanding more robust technologies and solutions to be able to handle the increasing volumes of data and the variety of standards that are being adopted, such as Web services, Enterprise Service Bus (ESB), XML messaging and others, ... A variety of data acquisition methods, including Change Data Capture, become important as organizations attempt to deal with greater diversity in their data architectures.

It's much easier to take data and push it into a data warehouse than it is to take data and push it into operational systems. This harmonization and consolidation stage has to do with getting sight of what you've actually got and moving it into a better position from a data perspective.

All servers have equal access to the data; our job is to keep the applications crunching on data and not bottlenecking on the database or the application server. Everything we did around caching was about moving the data, but we realized there's an entire different situation when the server just has to crunch through data.

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