RU203 · Self paced
Querying, indexing, and full-text search
This course covers RediSearch, the in-memory query, index, and search engine for Redis.
What you’ll learn
This course teaches you how to query structured and unstructured data in Redis. Using the RediSearch module, you’ll learn:
- How to query data in Redis with SQL-like flexibility
- How to use boolean logic, full-text search, numeric ranges, geo radiuses, and more
- How to create secondary indexes for your existing Redis data
- How to build reporting and analytics queries using aggregations (COUNT, SUM, etc.)
- Course Number
- RU203
- Starts
- February 20, 2024
- Estimated Effort
- ~ 3 hours per week
Software Requirements
- Web Browser: Firefox 39.0+ or Chrome 43+
- Operating System: Mac OS X 10.7+ 64-bit, Ubuntu 14.04+ 64-bit, or Windows 10
- Software: Docker, or local install of Redis Stack
- Access to youtube.com, university.redis.com and github.com
![A photograph of Andrew Brookins](jpg/andrew-brookins.jpg)
Andrew Brookins was a Developer Advocate at Redis and is the author of The Temple of Django Database Performance. A senior developer with ten years of experience, Andrew has made big contributions to production software using Python, Ruby, JavaScript/ES6, Objective-C, and more.
Make it official
Become a Redis-certified developer when you complete this program.
Learn more