OverviewSolutionAdd Incorta as a data source in TAZIUse the Incorta Table or Business View as the Input for a TAZI Business Model Overview The Machine Learning platform TAZI can receive the data from Incorta and use this data for training the mode...
OverviewSolutionCreate GCS Data Source in TAZICreate the destination in TAZI to write to the shared GCS BucketLoad the data from GCS via the Incorta Data Lake Connector Overview This article discusses integrating Incorta Cloud with TAZI Cloud. ...
What is TAZI?Deployment Scenarios What is TAZI? TAZI is a machine learning platform that allows continuous learning and Auto-ML functionalities. When it is used with Incorta, Incorta can be used for ingesting, integrating the data, and preparing ...
OverviewGetting StartedFormatting Overview In this article, you'll learn some helpful tips to use Markdown within Incorta Notebook. Markdown helps you take notes, explain the logic, and insert links, tables, etc. in a notebook making your code more...
OverviewWhat is A/B testing?Case StudyData SetTest HypothesesAnalysis in PySparkLoad the data into SparkClean up the dataCalculate the summary of controlled and treatment groupZTest PySpark UDFCall the PySpark UDFConvert the Resulted Array to DataFra...
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...
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...
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.
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...
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...
This article covers key insights and considerations to consider before creating your first schema!
Before designing your physical schemas it is highly recommended to take the time to develop naming conventions. Learn about all the best practices here!
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.
Read this article to review variable types in Incorta, when you use them, and best practices around using variables.
