Terminology
Here is a primer to some Osmos terms!
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Here is a primer to some Osmos terms!
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An argument is an independent input in a formula that is used to determine the value of the formula output.
equip your onboarding teams to send data from a Source Connector to a Destination Connector. You can also clean up and restructure the data before it is sent to the Destination Connector using training examples, column mapping, and formulas. Osmos Pipelines can be set up on a recurring schedule or manually triggered to run.
A is used to send data to a specific system. You can connect to various systems using Osmos, such as Amazon S3, BigQuery, Google Drive and more. Once you create a Destination Connector, you can connect it to one of your Source Connectors using an , and send data from that Source Connector to the Destination Connector. You can also connect it to one of your , and allow your end-users to upload clean data directly into the Destination Connector.
enables product teams to quickly build upload buttons and embed them into any web property. These smart uploaders come pre-integrated with , including databases, SaaS applications, and filestores. Any data uploaded by the end user is saved directly into the destination system, post cleanup. The uploader also comes with an intuitive interface for your end-users to quickly clean the data using , , and .
are used to quickly transform and map your source data to columns in the output table. We have several predefined formulas (such as CONCAT, DATE, ADD, etc.) that can be used together to complete complex transformations. You can also use simple formulas to directly map source columns to output columns.
A is used to access source data within a specific system. You can connect to various systems using Osmos, such as Amazon S3, BigQuery, Google Drive, and more. Once you create a Source Connector, you can connect it to one of your Destination Connectors using a Pipeline, and send data from the Source Connector to the .
A data transformation is the process of your data using simple or tools like , , and to ensure that source data fits the format of the destination system.
SmartFill is used to quickly transform and map your source data to the columns in the output table. It of the desired output to teach our AI to detect a pattern and create a program that auto-populates the remaining cells for that column with the transformed data. You can provide several training examples for a given column to increase the complexity of the program learned by our AI.
QuickFixes are that allow you to easily clean up your data for the most common scenarios for that data type. Update your columns to fit common, standardized formats for Date, Text, and Numeric data.