To dramatically improve how organizations derive value from diverse data, an entirely new approach is required. At Trifacta, we have completely reimagined how analysts make data useful by leveraging the latest techniques in data visualization, machine learning, human-computer interaction and data processing.

A Breakthrough Approach to Exploring and Preparing Data

Interactive Exploration

Trifacta presents automated visual representations of data based upon its content in the most compelling visual profile. In addition, every profile is completely interactive, allowing the user to simply select certain elements of the profile to prompt transformation suggestions.

Detailed visual representations allow for deeper data exploration, providing an automatic understanding of the data at its most granular level. Outliers and invalid data are easy to identify and correct, preventing faulty data from impacting downstream analytics.


Predictive Transformation


Every click, drag or select within Trifacta leads to a prediction—the system intelligently assesses the data at hand to recommend a ranked list of suggested transformations for users to evaluate or edit.

Unlike any other data preparation product, Trifacta empowers non-technical users to do more with their data by constantly guiding them through the process using intelligent suggestions powered by machine learning.



Intelligent Execution


Every wrangling step defined by the user is tracked and automatically compiled down into the appropriate processing framework, whether that’s with in-memory processing via Trifacta’s Photon engine or parallel processing frameworks such as Spark, MapReduce or Dataflow.

Users can expect best-fit execution based upon the scale of their data and types of transformations for unrivaled performance. Additionally, this selection is all done behind the scenes, abstracting the user from the underlying execution framework and optimizing for end-to-end efficiency.


Collaborative Data Governance


Trifacta provides extensive support for open source and vendor-specific security, metadata management and governance frameworks, providing a grassroots approach to how organizations have visibility and administration over the data wrangling analysts are performing.

In enterprise deployments, the ability of data wrangling solutions to interoperate with existing frameworks is critical to the ease of deployment and administration of customers and also doesn’t introduce another separate security framework for them to manage. Maintaining governance while empowering users is a critical attribute of enterprise data wrangling solutions. 


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