SymptomsDiagnosisSolution1. Read Data into Spark2. Create JSON Schema3. Parse JSON and Create a Temporary Column4. Explode Nested JSON Array5. Save the Final DataFrame Download Symptoms JSON data are provided by the source system for sharing with ...
What to do if you receive the 'iteritems' error when trying to convert a Pandas DataFrame to Spark DataFrame.
Streamline your data investigation with the use of dynamic forms!
Sometimes you need to check the version of a Python package. Find out how!
We bet there is one thing in here you didn't know about working with notebooks in Incorta.
Use hash keys to simplify duplicate record identification.
Introduction When replacing your current Informatica ETL processes, there are many approaches you can take to seamlessly transition to Incorta. This document will cover some of the best practices around how to manage an Informatica migration to Inco...
Quickly save Pandas DataFrames as materialized views without manually defining each column's data type and function. These simple functions allow the switch between Spark and Pandas more efficiently.
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.
