Start by abstracting away hardware decisions. Adaptive Compute (generally available) right-sizes your compute automatically, matching resources to each workload without manual warehouse or cluster tuning. You describe the work, and Snowflake optimizes how to run it.
Official announcementSnowflake Blog
Fuel Every Agent and App With Data That Keeps Pace
From the official release
Spark workloads run on Adaptive Compute too, reducing the level of effort for these types of workloads. Getting started is also easy. Bring existing code and skills to Snowflake and run them on the same governed platform as the rest of their pipelines. Snowpark Connect for Apache Spark™ (generally available) runs existing PySpark, Java and Scala code directly on Snowflake, with no external clusters to manage. The Next-Gen File Reader for Apache Spark (private preview) runs Spark's own read semantics on JSON, CSV, XML and Parquet effortlessly to allow working with messy bronze layer files.
This is a short excerpt. Read the full announcement on the official source.
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