You're reading from SQL for Data Analytics

Product typeBook

Published inAug 2019

Reading LevelIntermediate

PublisherPackt

ISBN-139781789807356

Edition1st Edition

Languages

SQL

Tools

PostgreSQL

Concepts

Data Analysis

Authors (3):

Upom Malik

Matt Goldwasser

Benjamin Johnston

View More author details

Functions and Triggers

So far in this chapter, we have discovered how to quantify query performance via the query planner, as well as the benefits of using joins to collate and extract information from multiple database tables. In this section, we will construct reusable queries and statements via functions, as well as automatic function execution via trigger callbacks. The combination of these two SQL features can be used to not only run queries or re-index tables as data is added to/updated in/removed from the database, but also to run hypothesis tests and track the results of the tests throughout the life of the database.

Function Definitions

As in almost all other programming or scripting languages, functions in SQL are contained sections of code, which provides a lot of benefits, such as efficient code reuse and simplified troubleshooting processes. We can use functions to repeat/modify statements or queries without re-entering the statement each time or searching...

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SQL for Data Analytics

Published in: Aug 2019Publisher: PacktISBN-13: 9781789807356

Authors (3)

Upom Malik

Upom Malik is a data science and analytics leader who has worked in the technology industry for over 8 years. He has a master's degree in chemical engineering from Cornell University and a bachelor's degree in biochemistry from Duke University. As a data scientist, Upom has overseen efforts across machine learning, experimentation, and analytics at various companies across the United States. He uses SQL and other tools to solve interesting challenges in finance, energy, and consumer technology. Outside of work, he likes to read, hike the trails of the Northeastern United States, and savor ramen bowls from around the world.
Read more about Upom Malik

Matt Goldwasser

Matt Goldwasser is the Head of Applied Data Science at the T. Rowe Price NYC Technology Development Center. Prior to his current role, Matt was a data science manager at OnDeck, and prior to that, he was an analyst at Millennium Management. Matt holds a bachelor of science in mechanical and aerospace engineering from Cornell University.
Read more about Matt Goldwasser

Benjamin Johnston

Benjamin Johnston is a senior data scientist for one of the world's leading data-driven MedTech companies and is involved in the development of innovative digital solutions throughout the entire product development pathway, from problem definition to solution research and development, through to final deployment. He is currently completing his Ph.D. in machine learning, specializing in image processing and deep convolutional neural networks. He has more than 10 years of experience in medical device design and development, working in a variety of technical roles, and holds first-class honors bachelor's degrees in both engineering and medical science from the University of Sydney, Australia.
Read more about Benjamin Johnston

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Functions and Triggers

Function Definitions

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