Palantir Technologies Inc.

Jose Angel Riarola

Francisco Ferreira

Edgar Gomes De Araujo

Quentin Spencer-Harper

Alexander Sparrow

An improved unit test framework that validates large datasets generated by a data management system is described herein. Typical unit test frameworks validate functions. However, the improved unit test framework validates the underlying data. For example, after each step of a data transformation process implemented by the data management system, the data management system can execute a data unit test that loads data sets into memory, checks a set of preconditions, and applies unit test logic to the loaded data sets. In some embodiments, the data management system executes the data unit tests asynchronously with the data transformation processes and therefore do not interfere with the data transformation processes. Rather, the data management system generates and transmits a notification when any step of the data transformation process fails a particular data unit test.

Data unit test-based data management system

Systems and methods for simplified frontend processing and visualization of large datasets are provided. In example embodiments, a plurality of data objects are accessed. One or more of data objects from among the plurality of data objects are grouped into a first group. A group identifier that identifies data objects included in the first group is created. A visualization comprising a first node that represents the first group is generated. The first node is linked to the group identifier. The visualization is presented on a user interface of the user device. User input indication a user-specified action and the group identifier is received. The user-specified action is performed with the data objects identified by the group identifier.

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London, United Kingdom

Jose Angel Riarola