Data & Schemas Knowledgebase
A solid data foundation leads to analytics. Build that foundation here.
cancel
Showing results for 
Search instead for 
Did you mean: 

Knowledge Base Articles

Getting Started with R in Incorta Notebook

Overview R is a popular language in Data Science.  Incorta supports creating materialized views (MV) with R. Your first Spark Program The minimum requirement for creating an MV includes the following: # Read data from Incorta into Spark df <- read(...

SparkR.png
dylanwan by Employee
  • 698 Views
  • 0 comments
  • 0 kudos

Use SparkSQL with SparkR

Overview In this recipe, you’ll learn how to run SQL queries from SparkR. After using the read() Incorta Notebook extension function to load data in Incorta Notebook, the data is in a SparkR DataFrame. You can use sql() to write SQL queries after cr...

Screen Shot 2022-04-05 at 4.00.41 PM.png
suxinji by Employee Alumni
  • 493 Views
  • 0 comments
  • 0 kudos

Performance of Materialized Views (MV)

Introduction Incorta Materialized Views are a powerful way to enrich data contained in Incorta tables.  Leveraging Spark's processing engine, Materialized Views (MVs) can be defined to introduce enrichments and advanced analytics to reshape your dat...

spark.jpg
Tristan by Employee
  • 1886 Views
  • 0 comments
  • 0 kudos
Best Practices Index
Best Practices

Just here to browse knowledge? This might help!