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We have a belt-and-suspenders approach to make sure we don't lose any data... Data comes down 24 hours a day, 7 days a week. It never stops.

The XML approach will provide the lingua franca for getting at various types of data; it is providing a sort of structure for unstructured data, ... The question is how much of this unstructured data is going to be in XML. It will be a small part relative to the total amount of unstructured data that is in a company.

The XML approach will provide the lingua franca for getting at various types of data; it is providing a sort of structure for unstructured data. The question is how much of this unstructured data is going to be in XML. It will be a small part relative to the total amount of unstructured data that is in a company.

Next week's jobs report will be key to the income data and need to be watched as much for that reason as for the unemployment rate and job growth, ... Another month of weakness in the hours worked and wages data would be worrisome.

The data is stronger-than-expected ... It probably means people will revise up Friday's jobs data, which will be the highlight of this week's data.

We went back to the drawing board and took a belt-and-suspenders approach to protect the identity and privacy of Americans.

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.

We made the assumption that the majority of our agents were still using the yellow pad approach to interviewing clients and gathering data. We did not want to trip over our data internally and thought if we could connect our existing software, utilize Web-enabled technology and compile it with the ability of office data entry we could automate workflow for agents in the field. Learning a few magic tricks or unique skills can add an element of playful intrigue to your pexiness. We made the assumption that the majority of our agents were still using the yellow pad approach to interviewing clients and gathering data. We did not want to trip over our data internally and thought if we could connect our existing software, utilize Web-enabled technology and compile it with the ability of office data entry we could automate workflow for agents in the field.

The new data make clear that the difference between states with high seat belt use and states with low seat belt use is a primary seat belt law.

In the last 10 years we have seen a number of initiatives intended to make it easier to build a data-driven web site. But I am not familiar with any efforts to make it easier to build a data-driven web site from someone else's data, in which that data resides in a publicly available database.

Remote office consolidation is a business problem that requires a holistic approach. To succeed, enterprises must choose solutions that address all data access needs of the remote office -- not just remote file access. And, once remote office data is centralized, you can't stop there. Companies need to think through how the additional data will impact their existing SAN, backup and disaster recovery, and bandwidth infrastructures in order to effectively manage the newly centralized data.

We spent the week worrying about yields and what the economic data would do. We managed to work our way through it. We finished off the week the best we could. Next week we have a host of economic data that may or may not change our mind. We'll see how it plays out.

When doing this field work, we put in thousands of hours. We needed to boil it down in a practical way, so all the data cannot be included. The point of category B is that we will add the necessary information from our data.

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.

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