Learn & Query On
Today we’re excited and proud to announce Aginity support for the newly released Amazon Redshift Data Sharing.
If you’re a SQL Analyst, you’ve got one of the most important jobs in your company today. Creating analytics to make data actionable for the business.
Aginity Connects to Snowflake Using Integrated OAuth Authentication
Learn how to become a rock star SQL analysts, data engineer or data scientist.
For Data Engineers
Redshift Utilities: Generate DDL and Search Table Metadata
MPP databases require you to figure out how to navigate their system tables. We’ll show you a few examples how to work with system tables to reverse engineer DDL and search for tables using wildcards.
Generating SQL to Profile Table Data
Leveraging what we learned in Lesson 1, we will expand the concept to use system tables and prior scripts to generate code that profiles a Redshift table. Check out this lesson to learn more.
Building a Random Number Generator to Create an Image
Feeling creative? Check out this lesson to learn how to build a random number generator in Redshift and create an image of Aginity’s Enterprise Product Manager George L’Heureux.
For Business Analysts
Rate of Return on Redshift
Internal Rate of Return (IRR) is a calculation frequently used to estimate an investment’s rate of return. Take this lesson to figure out how to use Redshift SQL to perform this calculation..
Create Basic Recency, Frequency and Monetary Segments
RFM (Recency, Frequency, Monetary) analysis is highly used marketing model for behavior based customer segmentation. It groups customers based on their purchase history. Learn how to do this in SQL!