Workflows

Overview

Redivis workflows are high-performance, collaborative environments for analyzing data. In a workflow, you can combine datasets across Redivis, and build out your analysis in an iterative, reproducible manner. Workflows can contain:

• Data sources, which bring data from across Redivis into your workflow. Data sources can either be a dataset that you have access to, or another workflow, allowing you to build on top of others' analyses.

• Transforms, which join, filter, aggregate, and reshape tabular data. Transforms are particularly important when working with large tables, allowing you to query billions of records in seconds.

• Notebooks, which execute Python, R, Stata, or SAS in a customizable, interactive compute environment.

• Tables, which are created as outputs of transforms and notebooks. On any table, you can validate your results, build out further analyses analysis, create new Redivis datasets, or export the data to another environment.

Workflows are owned by either a user or organization, and can be shared with other users and organizations as you work together in real time.

New to Redivis? Learn more in our Analyze data in a workflow guide.