According to a recent press release, “Trifacta, the global leader in data preparation, announced today a new native integration for Snowflake, the data warehouse built for the cloud. Trifacta’s visual and machine learning guided interface empowers data teams to collaboratively explore, clean, structure and enrich data at the scale and agility provided by Snowflake. Organizations in every industry are moving their data management and analytics to the cloud. The rise of technologies like artificial intelligence and machine learning is propelling a move to scalable, zero-management cloud data warehouses like Snowflake. As cloud platforms continue to improve flexibility and scale, organizations need a modern, self-service approach to preparing data natively in the cloud to keep up with the demands for differentiated data.”
The release goes on, “The integration of Trifacta with Snowflake enables organizations to reduce the time to insights. Trifacta’s Cloud Data Preparation platform empowers data professionals of all backgrounds to prepare and clean diverse data for analysis. This allows them to focus more time and resources on gaining insights and deriving real value from their data. ‘Organizations maximize the value of their data’s insights when working with high-quality, well-prepared data, and Trifacta is a strong example of a solution that accelerates the cleaning and preparation of data for analytics and reporting within Snowflake,’ Snowflake VP of Alliances, Walter Aldana said. ‘Partnering with Trifacta allows our shared customers to utilize the scalability and concurrency benefits of Snowflake’s unique architecture, while gaining additional efficiencies and agility when preparing structured, semi-structured, and unstructured data for downstream analytics’.”
Read more at Globe Newswire.
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