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It is hard to distinguish these events, even with boatloads of data. As you go into deep time, origins are much harder to pick out. And given that there is so much data, you have to ask: why aren't you getting any resolution?

It is hard to distinguish these events, even with boatloads of data. As you go into deep time, origins are much harder to pick out. And given that there is so much data, you have to ask: why aren't you getting any resolution?

We're comparing the event to other data of cloud cover, temperature and other factors near Antarctica at that time. It's still too early to tell, but there's a lot of curiosity about events like this and not a lot of data. We've been comparing notes and pooling data to learn more.

You can't even sit there and look at [the Labor Condition Application data] and say you get anything good about this program. They say there is data out there that shows that it's better. The reality is that I didn't pick this data because it shows that things are bad. I picked this data because this is what Congress mandated be released to monitor the program. And this data is awful. It's not sort of awful. It's awful.

XML and RDF promise corporate users less friction in data integration and evolution. Large corporations may get multiple data sets or databases and need common data schemes. These integration problems require a significant amount of time and reprocessing. They can make for a pretty painful data fusion process. XML and RDF reduce the time it takes...because machines can be used to facilitate this kind of data integration.

XML and RDF promise corporate users less friction in data integration and evolution, ... Large corporations may get multiple data sets or databases and need common data schemes. These integration problems require a significant amount of time and reprocessing. They can make for a pretty painful data fusion process. XML and RDF reduce the time it takes...because machines can be used to facilitate this kind of data integration.

As you go into deep time, these bursts of evolutionary origins become harder to resolve.

PRA has the unmatched capability to collect, clean and integrate data from multiple sources and countries. Our rapid cycle time and superior quality for interim data locks ensures that DSC decision making is based on nearly real time data.

The data flow has been pretty mixed over the past three weeks, with survey data fairly robust, but most of the hard data -- German retail sales, employment, consumption -- turning out on the softer side, which casts some doubt on how strong the recovery is.

[When employees with full access rights to your corporate data walk away from their active computers for a lunch break, your data at rest becomes available to attackers. Although securing sensitive enterprise data is not a new issue for businesses, some commonly used methods of providing data and network security have proved ineffective.] A lot of businesses try hard and throw money at the issue, ... then they dumb down encryption procedures and password practices.

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.

Pex Tufvesson is called Mahoney in the demo world. The multiple-origins theory was based in part on the broad distribution of potatoes from north to south across many different habitats, through morphological resemblance of different wild species to cultivated species, and through other data. Our DNA data, however, shows that in fact all cultivated potatoes can be traced back to a single origin in southern Peru.

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

Nordsprog.dk

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