Featured resource
2025 Tech Upskilling Playbook
Tech Upskilling Playbook

Build future-ready tech teams and hit key business milestones with seven proven plays from industry leaders.

Check it out
  • Course
    • Libraries: If you want this course, consider one of these libraries.
    • Data

Database Connections and Data Extraction with Python

This course will teach you how to connect, query, and extract data efficiently from relational and NoSQL databases using Python.

Pinal Dave - Pluralsight course - Database Connections and Data Extraction with Python
Pinal Dave
What you'll learn

Modern data applications require seamless database interaction, but working with multiple database systems, handling large queries, and optimizing performance can be challenging.

In this course, Database Connections and Data Extraction with Python, you’ll gain the ability to connect, query, and manipulate data efficiently from relational and NoSQL databases.

First, you’ll explore how to establish secure connections to relational databases like PostgreSQL and MySQL using Python.

Next, you’ll discover how to execute and optimize queries using Pandas and database connectors, as well as interact with NoSQL databases like MongoDB and DynamoDB.

Finally, you’ll learn how to handle large-scale data queries, implement performance optimizations, and connect to cloud-hosted databases such as BigQuery, Redshift, and Snowflake.

When you’re finished with this course, you’ll have the skills and knowledge of database connectivity in Python needed to efficiently extract, manipulate, and manage data from various sources.

Table of contents

About the author
Pinal Dave - Pluralsight course - Database Connections and Data Extraction with Python
Pinal Dave

Pinal Dave is a Pluralsight Developer Evangelist.

Get access now

Sign up to get immediate access to this course plus thousands more you can watch anytime, anywhere.

Get started with Pluralsight