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.
Knowledge Base Articles
Integration of Incorta Cloud with TAZI AI Cloud
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. ...
Getting Started with Spark SQL
IntroductionWhat you need to know before reading this articleStepsNavigationIncorta Notebook for SparkSQLAutocomplete for SparkSQLUse the DESC command to get the list of columnsUse Incorta Notebook Visualization Introduction Incorta Materialized Vi...
A/B Testing Analysis with Incorta PySpark
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...
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.
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.
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 ...
Install the Python Package in Incorta Cloud
Learn how to install the python package in Incorta Cloud!
How Joins Work in Incorta
Understanding Incorta Joins: A Comprehensive Guide In data analytics, effectively linking and analyzing data from diverse sources is crucial for deriving actionable insights. Incorta’s advanced join capabilities enable businesses to seamlessly integr...
Incorta Cloud with DataRobot GCP Batch Prediction API
Use Incorta to prepare data and create an ML model in DataRobot. You can then send the data as part of an Incorta data pipeline to DataRobot for making predictions. The DataRobot Batch Prediction API can be called from an Incorta MV to complete the prediction job.
