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Data Quality and Cleaning Overview by SohaibNasir is a document available to read on EtoBox.
What is Data Quality and Cleaning Overview about?
This document discusses data quality and data cleaning. It provides an overview of where data quality problems come from as data moves through the stages of data gathering, delivery, storage, integration, retrieval, and analysis. Common data quality issues that can occur include missing or incorrect data, data glitches, and lack of metadata and standards. The document also discusses how data quality can be measured and improved through constraints, profiling, and outlier detection.
- Author
- SohaibNasir
- Language
- EN