Machine Learning and Data Science
Remove the Bottleneck of Cleaning & Structuring Data for Data Science
Trifacta eliminates the frustrating and time-consuming tasks related to data preparation tasks for data science, like structuring unstructured text, one-hot encoding, scaling, standardizing, and normalizing data. With Trifacta, data scientists have tools to create consistent, high-quality, differentiated data for AI and ML models. Trifacta’s visual guidance and built-in machine learning create an interface focused on ease of use, instant validation, and powerful transformations. These features empower data scientists to perform the necessary transformations and data quality checks without the need for debugging, accelerating time-to-deploy models and improving accuracy in supported data science platforms.
Extract and Build Features with Ease
Easily Engineer features in your data by structuring text, extracting important values, one-hot encoding, scaling, standardizing and normalizing data. Trifacta makes it easy to understand the data you are working with and build features from it.
Monitor & Asses Data Quality
Monitor your data quality and changes over time to ensure you don’t automate decisions on bad data. Customize alerts based on data quality thresholds to continuously address any anomalies, and create data quality rules to control the job runs and outputs you create.
Build and Deploy Pipelines Fast
Automate your machine learning workflows so that your models continually update with new data. No more sending your work off to an IT team to deploy into production, Trifacta allows you to manage your own pipelines and adjust as needed.
Supported Services
- Amazon Sagemaker
- Amazon Forecast
- Amazon Personalize
- DataRobot
- H20 Data
- Python
- TensorFlow
- R
Trifacta Customers
