Trifacta, a leader in data preparation, is releasing 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.
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.
“As organizations modernize their approach to data and analytics, they are moving to data lake architectures and are increasingly leveraging powerful, cloud native services like Snowflake. This not only gives them better economics, but also increases their agility, allowing them to focus on driving value from analytics rather than managing infrastructure,” said Adam Wilson, CEO, Trifacta. “As the leader in data wrangling, we’re excited to accelerate these efforts by introducing the first cloud data preparation platform optimized for Snowflake. Trifacta’s native integration for Snowflake’s Cloud Data Warehouse will enable self-service cleansing and transformation, empowering broader communities of data analysts, data scientists, and data engineers, to refine raw data and build new data products faster than ever before.”
The Snowflake integration expands Trifacta’s support for data preparation and cleaning in the cloud, adding to Trifacta’s native support for AWS, Azure, and Google Cloud.
For more information about this news, visit www.trifacta.com.