Inzata Support

Inzata Support

Did You Know?

Inzata's visuals are powered by the formidable D3.js library of more than 800 visual elements

Transformations

Header Definition

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Use this transformation to select the columns you want to keep in your dataset. If a column name is not mentioned here, they will be deleted and not loaded in. If a column is named that doesn’t exist in the original data set you’re loading in, it will be created with null values.

You can also use this to rearrange your data set. The order column names are mentioned will be the order of the data set coming out of the transformation.

The settings are:

Columns of new table: Enter the names of the column headers you want to keep. Separate names by comma (,). List names in the order you want the output data set in.

Data Quality

Inzata’s Fully Automated data quality solution Ensuring the accuracy, completene

Facts, Attributes, and Metrics

Facts, Attributes and Metrics What are they? How do they work? – https://h

Sprint review 151

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Sprint review 148 – from End-User perspective

InBoard: Widget Map redesign in Dashboard ability to add more layers to the map:

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New Feature Releases/Change Logs

Snowflake DB

Configure Inzata’s connector to automate ingestion of data from Snowflake

Push Process

How does it work? The PUSH process facilitates the smooth propagation of changes

FAQ – Data Enrichment

FAQ – Modeling Data

FAQ – Loading and Moving Data

FAQ – General

What is Inzata? Inzata is a Data Analysis Software platform, Inzata is the faste

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