Database Connections and Data Extraction with Python
Database Connections and Data Extraction with Python
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 58m | 154 MB
Instructor: Pinal Dave
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 58m | 154 MB
Instructor: Pinal Dave
This course will teach you how to connect, query, and extract data efficiently from relational and NoSQL databases using Python.
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.
Database Connections and Data Extraction with Python
