We recently (14 July 2021) completed a masterclass with Kent Graziano, Chief Technical Evangelist, Snowflake, discussing Snowpark, the use of Scala and Java UDFs, and how we integrate this new technology into our DataOps platform. In particular, we discussed how we are using our Snowflake Object Lifecycle Engine to recycle these Snowpark objects through our DataOps platform via CI/CD pipelines and automated regression testing.
Updates from the DataOps team and the DataOps Community
Posts about Snowpark and Java UDFs:
Recently DataOps.live announced our support for Snowflake Java UDFs. This new Snowflake feature is another important step on the road (especially when combined with the release of Snowpark – see our blog about this here).
Recently DataOps.live announced our support for Snowflake Snowpark.
Snowflake is known for its performance, scalability, and concurrency. Before Snowpark, users interacted with Snowflake predominately through SQL. Now, customers will be able to execute more workflows entirely within Snowflake’s Data Cloud, without the need to manage additional processing systems.