How Ataccama ONE uses Snowpark data frames to automate profiling
Ataccama is known and appreciated by our customers for complex, big deployments where massive amounts of data are processed. We were one of the first to support MapReduce and Spark as native pushdown and enable distributed processing across different cluster nodes. Ataccama’s engine works with the major of enterprise data sources and processes them to provide valuable insight, such as statistics of the data, detection of domains, and data quality. To provide the best experience for our customers that use Snowflake, we developed a tighter integration between our technologies. Specifically, we use the Snowflake data processing capabilities in a pushdown manner which means that data is processed directly on Snowflake. The key advantages of this integration are: Lower data transfer costs for the client. Snowflake’s computational capabilities deliver results faster because of reduced IO operations. Customers don’t incur additional costs to maintain external systems for Big Data. Improved se