Knowledge Base Articles
Create an ODBC Connection to Incorta
Applies to: Any Incorta version On-Prem/Cloud Question: How to configure an ODBC connection?Unable to connect to Incorta using ODBC Overview: Any program that uses Open Database Connectivity (ODBC) to connect to a remote database needs a way to iden...
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.
Use Keyboard Shortcuts within an Incorta Notebook
IntroductionWhat you need to know before reading this articleLet's GoEnable Title of a ParagraphRun ParagraphRun All Above or All BelowMove Paragraph UpMove Paragraph DownInsert New Paragraph BelowDelete ParagraphParagraphLine NumbersClear OutputUndo...
Getting Started with Incorta Notebook
Introduction In this article you'll learn how to open the Incorta Notebook. The Incorta Notebook was designed for creating materialized views in Incorta. A materialized view is a physical schema that defines an Apache Spark job. The job consists of a...
Using JDBC to connect to Incorta SQL Interface from DataRobot
OverviewWhat you should know before reading this articleSolutionCreate New Project Select Data SourceCreate JDBC ConnectionBest PracticesOnly Share the Schemas RequiredCreate Business SchemasReuse and Share the Data across Multiple ML ProjectsReferen...
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.
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.
