Category: Type

Data Integrity vs. Data Quality in a Nutshell  Data integrity refers to protecting data from anything that can harm or corrupt it, whereas data quality checks if the data is helpful for its intended purpose. Data quality is a subset…

An effective data governance strategy is crucial to manage and oversee data effectively, especially as data becomes more critical and technologies evolve. This strategic approach to data governance aligns with findings from a McKinsey survey, suggesting that companies with solid…

A leading alcoholic beverage distributor uses Astera Data Pipeline Builder to automate data replication for 200 tables, significantly saving time and improving accuracy.

As data variety and volumes grow, extracting insights from data has become increasingly formidable. To put it into perspective, a bibliometrics study reveals that an astounding 2.5 million new papers are published annually. Processing this information is beyond traditional data…

What is a Data Governance Framework?  A data governance framework is a structured way of managing and controlling the use of data in an organization. It helps establish policies, assign roles and responsibilities, and maintain data quality and security in…