Validating the as is process model


For example, this step may involve creating a new field in the data file that aggregates counts from preexisting fields, or applying a statistical formula -- such as a linear or logistic regression model -- to the data.After going through the workflow, data is output into a finalized file that can be loaded into a database or other data store, where it is available to be analyzed.This reference describes the format, security characteristics, and contents of each type of token.



When a data scientist needs a data set for an analysis, they have to hunt down the data first.Machine learning algorithms can speed things up by examining data fields and automatically filling in blank values or renaming certain fields to ensure consistency when data files are being joined.After data has been validated and reconciled, data preparation software runs files through a workflow, during which specific operations are applied to files.The bearer is any party that can present the token.

Although a party must authenticate with Azure AD to receive the bearer token, if steps are not taken to secure the token during transmission and storage, it can be intercepted and used by an unintended party.

Some security tokens have a built-in mechanism to prevent unauthorized parties from using them, but bearer tokens do not.