Validation is the process of ensuring the accuracy, completeness, and reliability of data, which is crucial for effective data processing and analytics.| Dremio
Data Normalization is a process used to organize data in a database to reduce redundancy and improve data integrity.| Dremio
Data cleansing is the process of detecting and correcting or removing inaccurate, incomplete, or irrelevant data.| Dremio
Data transformation converts data to a new format or structure for analysis or integration.| Dremio
Data Integrity ensures the accuracy, consistency, and reliability of data throughout its lifecycle.| Dremio
Anonymization is the process of removing or altering identifying information from data to protect privacy and ensure compliance.| Dremio
Data quality refers to the overall fitness and usefulness of data for a specific purpose or application.| Dremio
Learn about data processing: its types, importance, and methods. Discover how it can help optimize business operations and make better decisions.| Dremio
A data lakehouse is a centralized repository that allows organizations to store structured and unstructured data at any scale.| Dremio