Srinubabu Kilaru said Bringing version control and CI/CD into data pipelines changed how quickly we could respond to policy ...

Discover the best cloud ETL tools for data engineers in 2025. Compare features, pricing, and use cases as we explore the most effective data integration solutions for modern organizations with ...

With the official release of Microsoft's latest database offering, let's see what was improved and what still needs some work. Today, at Ignite, Microsoft announced the general availability of SQL ...

SAP has released its November security updates that address multiple security vulnerabilities, including a maximum severity flaw in the non-GUI variant of the SQL Anywhere Monitor and a critical code ...

Abstract: Data preparation, including extraction, transformation, and loading (ETL), is a critical yet resource-intensive process in modern data-driven systems, particularly with the increasing volume ...

Many enterprises running PostgreSQL databases for their applications face the same expensive reality. When they need to analyze that operational data or feed it to AI models, they build ETL (Extract, ...

End‑to‑End DWBI Project Overview Built a scalable, maintainable pipeline—from data modeling through synthetic data generation and automated Snowflake ingestion ...

Today, at its annual Data + AI Summit, Databricks announced that it is open-sourcing its core declarative ETL framework as Apache Spark Declarative Pipelines, making it available to the entire Apache ...

Organizations are using generative AI to stay ahead of the competition, but the real advantage lies in harnessing the power of your own data securely and at scale. SQL Server 2025, now in public ...

At Microsoft Build, SQL Server 2025 enters public preview with major enhancements in AI integration, performance, reliability and developer tools -- reaffirming Microsoft’s continued investment in its ...