With the Custom CData Connector, you can use a CData JDBC driver to ingest data from any of the over 200 databases, applications, and object stores supported by CData JDBC drivers. In this article, we are concerned with establishing a connection to...
Overview This article is one of the series of articles about Incorta and DataRobot integration via DataRobot APIs. In this article, we assume that Incorta is running in an on-premises environment. The DataRobot Batch Prediction API assumes that t...
Introduction It is a best practice to test configuration in the development/test environment(s) before moving it to production. In some cases, production data is loaded into the Dev/Test environments for validation purposes as well. This article di...
Learn out to implement the Oracle LISTAGG() function in Incorta
Introduction The incorta_sql() function lets you directly query physical 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 query ...
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...
Your MV ran successfully in Incorta Notebook, but when you tried to validate and save the MV, it failed.
OverviewDeployment OverviewSample DataInstallationStep 1: Install the DataPrepAPI Wheel FileStep 2: Upload the Data_Profiler_Datasets data filesStep 3: Import SchemaStep 4: Import DashboardStep 5: Add Session Variables (Optional)Related Materials Ove...
IntroductionCalling DataProfiler APIBasic Table InfoSummary TableCorrelation TableFrequency TableHistogram TableIncremental LoadRelated Materials Introduction This article will show you how to adjust the output of the Incorta data profiler with diffe...
Learn how to leverage MVs to build connections to pull from REST APIs.
Learn how Incorta Data Profiler can help you understand the quality of your data before you bring it into Incorta.
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...
