Data Profiling

Data Profiling - The process of examining data in an existing database and collecting statistics and information about that data. The information collected may be used to collect metrics on data quality, assess whether metadata accurately describes the actual values in the source database, determine if existing data can be repurposed, or understand risks and challenges in using the data.

[Category=Data Governance ]

Source: The Data Governance Institute, 27 November 2009 09:20:52, http://www.datagovernance.com/glossary-governance/

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Data Profiling - The process of examining the data available in an existing data source (e.g. a database or a file) and collecting statistics and information about that data.

Source: Public Schools of North Carolina, 22 April 2010 13:59:12, http://www.ncpublicschools.org/data/management/glossary/

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Data Profiling - Data Profiling is a process whereby one examines the data available in an existing database and collects statistics and information about that data.

[Category=Data Cleansing ]

Source: X4DB, 16 May 2010 10:44:12, http://www.x4db.com/glossary.html

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Data Profiling - Data profiling, a critical first step in data migration, automates the identification of problematic data and metadata and enables companies to correct inconsistencies, redundancies and inaccuracies in corporate databases.

[Category=Information Management ]

Source: Information-Management.com, 11 June 2010 11:09:51, http://www.information-management.com/glossary/d.html

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Data profiling - A set of techniques for searching through data looking for potential errors and anomalies, such as similar data with different spellings, data outside boundaries and missing values.

[Category=Data Quality ]

Source: DAMA UK, 15 July 2011 09:04:12, http://www.damauk.org/glossary.php

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data profiling - Data profiling, also called data archeology, is the statistical analysis and assessment of the quality of data values within a data set for consistency, uniqueness and logic.

The insight gained by data profiling can be used to determine how difficult it will be to use existing data for other purposes. It can also be used to provide metrics to assess data quality and determine whether or not metadata accurately describes the actual values in the source data. The data profiling process cannot identify inaccurate data; it can only identify business rules violations and anomalies.

Profiling tools evaluate the actual content, structure and quality of the data by exploring relationships that exist between value collections both within and across data sets. For example, by examining the frequency distribution of different values for each column in a table, an analyst can gain insight into the type and use of each column. Cross-column analysis can be used to expose embedded value dependencies and inter-table analysis allows the analyst to discover overlapping value sets that represent foreign key relationships between entities.

See also: data modeling / data modelling, data dictionary, de-duplication / deduplication / dedupe

[Category=Data Management ]

Source: WhatIs.com, 22 July 2013 09:21:14, http://whatis.techtarget.com/glossary/Data-and-Data-Management  

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data profiling - The process of collecting statistics and information about data in an existing source.

[Category=Big Data ]

Source: DataInformed, 25 October 2013 09:04:54, http://data-informed.com/glossary-of-big-data-terms/  

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Data-Profiling - Data-Profiling bezeichnet den weitgehend automatisierten Prozess zur Analyse vorhandener Datenbestände (z. B. in einer Datenbank) durch unterschiedliche Analysetechniken.

[Category=Data Quality ]

Source: Uniserv, 02 January 2014 15:39:18, http://www.uniserv.com/de/glossary/index.php