Trifacta extends enterprise data wrangling

Trifacta has released Trifacta v4, which has capabilities specifically designed to work for more users, more diverse data sources and within more cloud environments.

Trifacta v4 features the general availability of Builder, a new menu-driven workflow to guide users through data wrangling steps. The latest release includes the general availability of the Photon Compute Engine, improving the scale of data that users are able to wrangle on-the-fly, directly within the Trifacta application.

Photon provides an optimized engine for datasets that do not require parallel processing within Trifacta’s Intelligent Execution architecture. The v4 release also expands support for customers deploying Trifacta in cloud environments such as Amazon Web Services, Google Cloud Platform and Microsoft Azure, while extending the ability of users to directly connect to a variety of enterprise data sources, including Microsoft SQL Server, MySQL, Oracle, PostgreSQL and Teradata.

A core focus area of the v4 release is to enrich Trifacta’s unique data wrangling user experience by offering a new workflow for building data preparation steps. The addition of Builder to the Trifacta interface augments the ability of users to wrangle data without the need to utilize scripts.

The v4 release also expands upon Trifacta’s blend of data visualization and machine learning to guide users through common data wrangling tasks. With pattern profiling, users visualize common and anomalous text patterns that are automatically detected within each column.