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Connect and Load Data – InFlow

Transformation Overview

Estimated reading: 1 minute 112 views

Transformation Widgets are used to make changes to your data during the loading process.  There are multiple transformations available, each with its one set of actions.  Multiple transformations can be chained together to accomplish more complex tasks.  Branching and splitting your flow(s) into two or more sub-flows is also supported via the Row Conditional Filter transformation.  Flows can then be re-consolidated using one of the Union transforms.

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

We made numerous UI changes as part of the step-by-step redesign of the entire a

Sprint review 148 – from End-User perspective

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

Sprint review 149

Sprint review 149 – from End-User perspective App: Be able to impersonate

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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