Data Profiling

Data profiling is the process of examining and analyzing data from various sources to collect statistics and information about the quality, completeness, and accuracy of the data. It involves the use of automated tools and techniques to identify patterns, anomalies, and inconsistencies in the data. Data profiling helps in understanding the structure and content of the data, identifying data quality issues, and assessing the suitability of the data for specific purposes such as data integration, data migration, or data warehousing. It also helps in identifying relationships between data elements and in creating metadata that describes the data. Data profiling is an important step in the data management process and is used in various industries such as finance, healthcare, and retail.
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