Data masking and anonymization solutions are used by organizations to safeguard sensitive data by removing personal identifiers, without compromising the usefulness of the data. As regulatory ...

Millions of users work with SQL to keep the gears of their business turning. In an era marked by relentless digital transformation, the proliferation of AI workloads, and tightening regulatory demands ...

Oracle Database is a leading multi-model database management system known for its robustness, scalability, and comprehensive feature set. It is widely used in enterprise environments for handling ...

Data fabric is a powerful architectural approach for integrating and managing data across diverse sources and platforms. As enterprises navigate increasingly complex data environments, the need for ...

Snowflake wants to reduce enterprises’ reliance on data engineers and data scientists for unstructured data analysis with its new SQL functions powered by generative AI. Snowflake is adding generative ...

Hello there! 👋 I'm Luca, a BI Developer with a passion for all things data, Proficient in Python, SQL and Power BI ...

In this post, we will go step by step into several aspects of Change Data Capture, a feature that is available on the Azure SQL Managed Instance and Microsoft SQL Server. The focus will be on the ...

Test automation and DevOps play a major role in today's quality assurance landscape. As we know, software development is evolving at a rapid pace. This requires finding robust ways to invest in ...

Data masking is one of the ways to protect confidential information from unauthorized use. When masking, data is replaced either with arbitrary symbols or (more often) with fictitious data. The array ...