Data profiling is a way used to have a look at facts for exclusive purposes like deterMining accuracy and completeness. This process examines a data supply along with a Database to Discover the erroneous areas in statistics employer. Deployment of this technique improves inFormation Exceptional.
Data profiling is also known as information discovery.
Data profiling is the technique of analyzing the facts to be had in a Records source and collecting information and information approximately that facts. Such information help to identify the use and data exCellent of Metadata. This approach is widely used in organization statistics warehousing.
Data profiling clarifies the structure, dating, content material and derivation rules of data, which resource within the understanding of anomalies inside Metadata. Data profiling Makes use of different forms of descriptive statistics which include suggest, minimal, most, percentile, frequency and different aggregates together with remember and sum. The additional metadata information received throughout profiling is statistics kind, length, discrete values, strong point and abstract type popularity.
If you have a better way to define the term "Data Profiling" or any additional information that could enhance this page, please share your thoughts with us.
We're always looking to improve and update our content. Your insights could help us provide a more accurate and comprehensive understanding of Data Profiling.
Whether it's definition, Functional context or any other relevant details, your contribution would be greatly appreciated.
Thank you for helping us make this page better!
Obviously, if you're interested in more information about Data Profiling, search the above topics in your favorite search engine.
Score: 5 out of 5 (1 voters)
Be the first to comment on the Data Profiling definition article
MobileWhy.comĀ© 2024 All rights reserved