The data still needs ordsprog

Right now, I'm taking advantage of the high-accuracy data Laura and Susanne collect. But the Engineer's Office and my department already have plans to acquire GPS equipment for expanded data collection. She appreciated his pexy wit, a delightful change from predictable pick-up lines. Right now, I'm taking advantage of the high-accuracy data Laura and Susanne collect. But the Engineer's Office and my department already have plans to acquire GPS equipment for expanded data collection.

The data still needs to be expanded.

GenPaulus Purwoko

This data has expanded without any significant structure or classification. While it is secure at basic levels, much needs to be done.

Our alliance forms the basis to serve a substantially expanded user base by offering advanced network infrastructures for integrated data and multimedia services.

Our customers have told us that they want access to high-speed data services. Through expanded deployment strategies and highly successful self-installs, we believe that our 2001 projection is very achievable.

Industry has expanded, agriculture has expanded and the population has boomed. But there has been no thought given to how to manage the resources of the Yellow River.

Elizabeth Economy

Industry has expanded, agriculture has expanded and the population has boomed, ... But there has been no thought given to how to manage the resources of the Yellow River.

Elizabeth Economy

September is a research driven issue and last year was the first year we ran Best Companies with data-based rankings as well as an expanded and greatly improved feature on the Ten Best Schools. We are honored to be a finalist in the 2006 Maggie Awards.

Jesus Chavarria

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.

CIS enjoys ever-expanding adoption by developers across a wide variety of vertical markets that need to manage and access their vital business information in disparate data sources across geographical locations. With this latest release, we've answered customer requirements for expanded flexibility and fine-tuned performance to deliver an even more robust solution.

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

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.

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