You're reading from The Applied SQL Data Analytics Workshop - Second Edition

Product typeBook

Published inFeb 2020

Reading LevelIntermediate

PublisherPackt

ISBN-139781800203679

Edition2nd Edition

Languages

SQL

Tools

Anaconda PostgreSQL

Concepts

Data Analysis

Authors (3):

Matt Goldwasser

Upom Malik

Benjamin Johnston

View More author details

Summary

In this chapter, we learned how to interface our database with other analytical tools for further analysis and visualization. While SQL is powerful, there will still be those odd analyses which need to be undertaken in other systems. To solve this problem, SQL allows you to transfer data in and out of the database for whatever tasks you may require.

Initially, we looked at how we can use the psql command-line tool to query our database. From there, we were able to explore the COPY command and the psql-specific \copy command, which enabled us to import and export data to and from our database in bulk. Next, we looked at programmatically accessing our database using analytical software such as R and Python. From there, we were able to explore some of the advanced functionality in Python, including SQLAlchemy and pandas, which enabled us to perform data visualization.

In the next chapter, we will examine data structures that can be used to store complex relationships in...

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The Applied SQL Data Analytics Workshop - Second Edition

Published in: Feb 2020Publisher: PacktISBN-13: 9781800203679

Authors (3)

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

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

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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You're reading from The Applied SQL Data Analytics Workshop - Second Edition

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