Generative AI has had a transformative impact across numerous sectors and industries — and data management is no exception. The full extent of GenAI’s implications for data governance is yet to be determined. Areas such as data access, extraction, and…

Data completeness plays a pivotal role in the accuracy and reliability of insights derived from data, that ultimately guide strategic decision-making. This term encompasses having all the data, ensuring access to the right data in its entirety, to avoid biased…

Working with large volumes of data requires effective data management practices and tools, and two of the frequently used processes are data ingestion and ETL . Given the similarities between these two processes, non-technical people seek to understand what makes…

What is a Data Catalog? A data catalog is a central inventory of organizational data. It provides a comprehensive view of all data assets in an organization, including databases, datasets, files, and data pipelines. They enable organizations to efficiently manage…

Organizations rely on high-performance data warehouses for storing and analyzing large amounts of data. An important decision in setting up a data warehouse is the choice between Star Schema vs. Snowflake Schema.  The star schema simplifies the structure of a…