With these tables, users can query SQL and do more complex data transformation operations using computing languages, such as python. Nowadays, Snowflake is much more than a data warehouse.

When data is loaded into Snowflake, Snowflake reorganizes that data into its internal compressed, columnar format. The internal data objects are only accessible through SQL queries.

Gartner Inc. has forecast that graph technologies will be used in 80% of data and analytics use cases, up from 10% in 2021. SQL support. A key feature of the partnership is the use of SQL to build ...

Snowflake is adding generative AI-powered SQL functions to help data analysts and their organizations analyze unstructured data with SQL. These new AISQL functions will be part of Snowflake’s ...

Hasura, a data accessibility company, is announcing the beta release of its GraphQL Data Connector for Snowflake, a new database integration that allows Hasura users to instantly generate a unified ...

They cover a variety of models, right from open-source LLMs such as Llama 2 to Snowflake’s proprietary models, including the one for converting text inputs into SQL for querying data.

Further, Trifacta’s native support for Snowflake SQL uniquely allows data professionals to build the entire transformation logic, allowing users of all skill sets to work on huge data directly ...

Snowflake, a novel data warehousing service that’s run by former Microsoft server and tools executive Bob Muglia, is coming out of beta today.In addition, the company today announced that it has ...

Companies use Snowflake to store their data in the cloud. With the ever-growing interest in generative AI and large language models, customers are looking for ways to get started with the ...

Cybersecurity workload processes data with SQL, Python. Snowflake’s pitch to cybersecurity professionals is that traditional security architectures with legacy SIEM (security information and ...