Designing your Physical Schema
This article covers key insights and considerations to consider before creating your first schema!
Knowledge Base Articles
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.
Incorta Data Agent
Learn how the Data Agent allows you to connect data sources behind your firewall to the Incorta Cloud
Incorta third-party AI/ML platform Integration
Overview Artificial intelligence(AI) and Machine learning(ML) are being applied to various industries. It is very exciting that Incorta supports integration with third-party AI/ML platforms. When you use AI/ML platform you can leverage the data tha...
Incorta with DataRobot Prediction API Overview
OverviewCode for call to the prediction APILinks to articles that use the APIs under different scenarios Overview This article is part of the series of articles for integrating Incorta with AI/ML platform. The assumptions are that you have created...
Incorta On-premises with DataRobot Real-time Prediction API
Overview In this article, we assume that Incorta is running in an on-premise env and we can call Data Robot real-time API to get the prediction. Solution 1. Read the Incorta data in Incorta Notebook. 2. The Data Robot Prediction assumes that t...
Share Prediction Results from AI/ML Platform with an Incorta on-premise deployment
Create analytics dashboards in Incorta with scored data from an outside AI/ML platform.
How to connect to Oracle Cloud (Autonomous) Database from Incorta On-Prem
A simple guide to getting connected to Oracle Cloud (Autonomous) Database
Exploratory Data Analysis using SweetViz and Incorta Notebook
You can generate the data profiling report using SweetViz from Incorta Notebook. This article shows you step by step instructions.
Generate profile reports using Pandas Profiling package within Incorta Notebook
Learn how to generate profile reports using Pandas Profiling package in Incorta Notebook
Run SQL Queries from PySpark and Incorta Notebook
Incorta Notebook enables you to write SQL queries to create your data pipeline in Incorta Materalized Views.
Level Based Aggregate using Incorta Materialized View
Overview This is the second part of the articles that discusses level-based measures. The essential part of a level based measure is an aggregation that is calculated at a specific level of detail with a result can be repeated at the lower level ...
