Incorta Notebook Best Practices
We bet there is one thing in here you didn't know about working with notebooks in Incorta.
Knowledge Base Articles
Incorta MetaData is failing with Table 'incortametadata.CATALOG_LINK' doesn't exist
Symptoms After an upgrade, there is a possibility that incortaMetaData schema would fail with the following error: com.incorta.api.exceptions.DataException: INC_03070000: Failed retrieving sample data from [_IncortaMetadata] with properties [[increm...
Query business schema data from PySpark using the incorta_sql_pg() function
Introduction The incorta_sql_pg() function lets you directly query business schema data in a PySpark MV without going through the old and cumbersome way. What you need to know before reading this article Previously, you could use spark.sql() to quer...
Introduction to Incorta Data Profiler
Learn how Incorta Data Profiler can help you understand the quality of your data before you bring it into Incorta.
Data Harmonization for Multi-Source
Introduction When creating visualizations based on multiple source systems, tables must be aligned to achieve a wholistic view of a business. For example, organizations that migrate from one ERP to another align invoice tables from each ERP to see al...
Multi-Source Table Design
Struggling to wrangle data from multiple sources? Learn about how and when to combine similar data points from disparate sources with three different approaches using the Incorta Platform.
Designing your Physical Schema
This article covers key insights and considerations to consider before creating your first schema!
Physical Schema Naming Conventions
Before designing your physical schemas it is highly recommended to take the time to develop naming conventions. Learn about all the best practices here!
Business Schema Naming Standards
Similar to physical schemas, before designing your business schemas it is highly recommended to take the time to develop naming conventions if they are not already in place within your organization.
Variables
Read this article to review variable types in Incorta, when you use them, and best practices around using variables.
Level-Based Aggregate in Incorta
Compare the discounts given in different area, business units and at the different levels of details.
Configure an Incorta v4 Cluster using the CMC step by step
Prerequisites: CMC instance is up and runningNode agent instance(s) are up and runningZookeeper is up and running (either shipped with incorta or a clustered zookeeper)An empty schema is created (either oracle metadata or MySQL metadata)A common/shar...
Creating Snapshot tables with Incorta
A snapshot table holds the same transactional data as its source system, with additional fields for tracking the snapshot date.
How to output a csv file for schema.table.column details
This python script takes the unzipped tenant export file or a unzipped schema export file and produces a csv file which has all the table column details like datatype etc in a schema. This csv file can then be imported into Incorta and a dashboard cr...
Record Level Security
Learn about how Incorta allows you to restrict user data access in the Incorta Direct Data Platform.
