With Trifacta’s intuitive, no-code interface, moving data from S3 into Redshift for data warehousing or preparing S3 data for machine learning and reporting can easily and quickly be accomplished by data professionals without reliance on IT departments.
Faster Than Hand Coding
Trifacta automatically profiles your S3 data and highlights common discrepancies and anomalies, reducing the time to resolve these issues to seconds.
Automatic data and schema inference helps structure S3 data, and Trifacta’s proprietary machine learning technology detects potential join keys across multiple tables as well as missing values, mismatched values and outliers.
Data can be refreshed on a recurring basis using Trifacta’s automation capabilities. Dynamic inputs allow you to define rules on which files to pick up every run and which ones to skip.
Webhook notifications allow for powerful interoperability with APIs inside and outside of AWS, and email notifications keep you up to date on what’s going on with the migration of your data.
Trifacta automatically interprets your data transformation intent when you select data using a proprietary machine learning algorithm that takes into consideration the most common activities our users have performed using the tool.