Bharat Kumar Dokka is a distinguished Associate Technical Architect with over 15 years of experience in database product ...

Locking down AI pipelines in Azure? A zero-trust, metadata-driven setup makes it secure, scalable and actually team-friendly.

For a long time, companies have been using relational databases (DB) to manage data. However, with the increasing use of large AI models, integration ...

In today''s fast-paced digital landscape, companies are required to store, fetch, and share a large amount of data and ...

Of course, if your PG server is running on a virtual machine, increasing hardware resources can also be an emergency option.

DBTA's webinar, Succeeding with Modern Data Applications, gathered a series of experts to evaluate key technologies, tools, and best practices for developing modern data apps that enable a data-driven ...

To address these issues, two technological routes based on large language models (LLM) have emerged: Text2SQL and DataAgent. They represent two different approaches to data democratization. Text2SQL: ...

A new SQL Server 2025 feature lets organizations run vector-based semantic searches on their own data, connecting to local or cloud-hosted AI models without relying on massive general-purpose LLMs.

Keyrus implemented a centralised data lakehouse model for its client to harmonise disparate data sources, automate pipelines ...

In today's business world, while data professionals have access to advanced AI tools, they still remain heavily dependent on manual data analysis. Ada, the world's first AI data analyst, launches ...