data profiling in a sentence

1. Before implementation it is a good idea to do data profiling.
2. Normally, purpose-built tools are used for data profiling to ease the process.
3. Data profiling is one of the most effective technologies for improving data accuracy in corporate databases.
4. Discovering business knowledge embedded in data itself is one of the significant benefits derived from data profiling.
5. According to Kimball, data profiling is performed several times and with varying intensity throughout the data warehouse developing process.
6. It's difficult to find data profiling in a sentence.
7. But direct-mail campaigns are a blunderbuss approach to advertising compared to the finely honed approaches offered by Internet data profiles.
8. "' Talend Open Studio for Data Quality "'is an open source computer software project for data profiling.
9. I would get frequent-flier points and a seat on the aisle toward the front of the aircraft, as specified in my data profile.
10. The benefits of data profiling are to improve data quality, shorten the implementation cycle of major projects, and improve users'understanding of data.
11. Customizable Code-Automation Framework ( CATfX ) : Helps automate manual coding and tasks for ETL integration and data profiling, Testing Automation and more.
12. Data profiling refers to the analysis of information for use in a data warehouse in order to clarify the structure, content, relationships, and derivation rules of the data.
13. The dispute revolves around a range of new privacy and data profiling standards now being finalized by the World Wide Web Consortium, an Internet standards body based in Cambridge, Mass.
14. More details of fauna species as reported by the Museum of Zoology of the University of Michigan, Bucknell University, Avibase data profiles and BirdLife International data profiles are the following.
15. More details of fauna species as reported by the Museum of Zoology of the University of Michigan, Bucknell University, Avibase data profiles and BirdLife International data profiles are the following.
16. By using a persistent metadata repository, ETL tools can transition from one-time projects to persistent middleware, performing data harmonization and data profiling consistently and in near-real time.
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