Snowflake wants to reduce enterprises’ reliance on data engineers and data scientists for unstructured data analysis with its ...

In this tutorial, I dive into advanced strategies for filtering Firebase data using multiple properties—similar to crafting a ...

Even as large language models have been making a splash with ... Evangelist Thomas Baumann decided that his team would give SQL Data Insights a try for this project. “Our goal was to create ...

Open source in-process OLAP system launches rival to Iceberg and Delta Lake table format, and more With a combined market ...

New open-source efforts from Snowflake aim to help solve that unsolved challenges of text-to-SQL and inference performance for enterprise AI.

Moreover, SnowConvert AI can help enterprises complete code conversion and testing phases two to three times faster.

Data modeling, transformation, DDL script generation, database object creation, debugging, management and SQL stored procedures and functions are all available within IBM InfoSphere Data Architect ...

It can be an SQL database, a spreadsheet ... intelligence applied to unstructured and sequential data, these large language models (LLMs) are fuzzy by design. They are built to manipulate input ...

developers will be able to level up their skills and start building new apps using features such as the JSON Relational Duality which unifies the relational and document data models, SQL support ...

Workflows manage prompts and models with SQL and enforce governance policies. Starburst said these capabilities are fully contained within its platform and require no external data pipelines. Data is ...