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Informative Article | Data & Knowledge Engineering | India | Volume 12 Issue 1, January 2023 | Popularity: 5 / 10
Ensuring Data Quality and Integrity by Implementing Validation and Cleansing Mechanisms During Ingestion
Fasihuddin Mirza
Abstract: In the era of data - driven decision - making, ensuring the quality and integrity of data has become paramount. Data ingestion, the process of acquiring and transferring data to a storage system, plays a crucial role in maintaining data quality and integrity. This academic journal aims to explore the significance of implementing validation and cleansing mechanisms during the data ingestion process and the impact it has on overall data quality. The journal also explores various techniques and best practices that can be employed to achieve accurate and consistent data.
Keywords: Data quality, Data integrity, Data ingestion, Validation mechanisms, Cleansing mechanisms, Data acquisition, Data transformation, Data loading, Accuracy, Completeness, Consistency, Timeliness, Validity, Data anomalies, Data cleansing, Outliers, Data normalization, Data profiling, Metadata management, Error handling, Duplicate detection, Data lineage, Data - driven decision making, Data reliability, Usable data.
Edition: Volume 12 Issue 1, January 2023
Pages: 1263 - 1267
DOI: https://www.doi.org/10.21275/SR24418113143
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