Learn & Query On

Aginity Inc.

Netezza Users,
We Don’t Have to Part Ways

If the retirement of Netezza has you floundering, we’ve got at least one point of consolation: this doesn’t mean you have to part ways with Aginity! In addition to supporting IBM’s next generation database offerings with support coming out this year, Aginity already enables your SQL query and development workloads on 10 different databases (and counting), including cloud specialists like Azure Data Warehouse and Amazon Redshift.

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SQL drive AI and ML
Aginity Inc.

It’s All About SQL

It feels like every conference talk, blog post, podcast or marketing message that I get these days is touting the amazing benefits of Data Science, Machine Learning (ML) or Artificial Intelligence (AI) (or if you are old school, you probably recall the marketing and promotion of many similar techniques as “Statistical Modeling”).

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Aginity Academy

Learn how to become a rock star SQL analysts, data engineer or data scientist.

For Data Engineers

Lesson 1

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.

Lesson 2

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.

Lesson 3

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

Lesson 1

Calculate Internal
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..

Lesson 2

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!

Get Started with Aginity Catalogs

Import our toolkits and getting started catalogs from Github into Aginity Pro/Team, giving you instant access to hundreds of useful SQL utilities, queries and snippets