With new transparent performance enhancements across its single engine, Snowflake is focused on helping customers to mobilise data to run important workloads.

Snowflake has revealed new enhancements to improve programmability for data scientists, data engineers and application developers.

"As we continue to focus on mobilising the world’s data, Python broadens even further the choices for programming data in Snowflake, while streamlining data architectures.”

The partnership sees Lacework data available in the Snowflake Data Cloud, enabling organisations to analyse and report on risk and threats across their cloud and container environments.

"Data analytics is the holy grail of digital transformation."

"This foundation powers Snowflake's leadership across six key workloads with blazing performance, reduced operational complexity, and hardened security, and it also enables us to create a global experience across clouds and regions.”

The next integration focuses on the speed and accuracy with which models are developed.

"The new features announced today are another example of Snowflake's commitment to delivering the technology customers need to fully mobilise their data and achieve meaningful business value.”

As organisations map out business strategies for the year ahead, increasing attention is being given to data management.