Install the Python Package in Incorta Cloud
Learn how to install the python package in Incorta Cloud!
Knowledge Base Articles
Data Alert for Current Running Job
An Incorta job runs for more than 40 hours and none of us noticed until business users contacted us and asked why they do not see the updated data from the dashboard. Incorta provided us the Long Spinning Job Alert before. Why does it not work?
Calculating Z-Score with Incorta
Have you ever needed to calculate a Z-score?
JSON - Avro Extractor Tool and Configuring Kafka Data Sources
This article provides more information about the Avro Extractor tool that generates an Avro file from a provided JSON file.
Kafka Overview
Apache Kafka is a distributed publish-subscribe messaging system that can handle a high volume of data and enables you to pass messages from one end-point to another.
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.
How to handle Date Time in Spark MV
We would like to get the current hour, how can we get it in Spark SQL? We also need the time as of one hour ago, how do we do that?
Use SparkR DataFrame for Selecting, Filtering, and Grouping your Data
Use select(), filter(), arrange(), and group_by() functions to handle Spark DataFrame on R.
Getting Started with Machine Learning in Incorta Guide
A take-home guide for an introduction to Machine Learning in the Incorta platform.
Build Machine Learning Models using Incorta Materialized Views
IntroductionIncorta Materialized Views (MV) provide a way to run PySpark, Scala, and Spark R and can be used for building machine learning (ML) models. We will discuss PySpark, Scala, and Spark R separately. Here are the best practices of using Incor...
Split a Dataset Into Training and Testing Data Sets
IntroductionWhat you should know before reading this articleApplied toLet's GoMulti-class classification data Introduction The train-test split procedure is used to evaluate the performance of machine learning (ML) algorithms. As part of data pre...
Convert Data Type in Incorta Notebook
As a part of data cleaning in Machine Learning, you may need to convert the data from one data type to the other data type. In this article, you will learn how to use Incorta Notebook to covert the data. After you read data in Incorta Notebook, you c...
Save Spark ML Model
Introduction Incorta supports the Machine Learning(ML) model creation process by using Incorta Materialized Views (MV). While you can put the logic of applying the ML model testing and actually use of the ML model for inference in the same MV, the ...
Preview Data in an Incorta Notebook
Preview Data in Incorta Notebook In this article, you will learn how to preview data in Incorta Notebook. Incorta notebook provide methods to let you preview data. using show(), head(), printSchema(), and describe(). incorta.show(df) incorta.hea...
