This Redis course path takes you from basic to advanced usage, covering fundamental operations and data structures using Java. You'll gain hands-on experience with transactions, pipelines, streams, and high-performance applications, equipping you to manage Redis-backed systems proficiently.
Introduction to Redis with Java and Jedis: The Basics
4 lessons
23 practices
Redis is an in-memory data structure store used as a database, cache, and message broker. This course introduces the essential concepts and operations of Redis, including connecting to a Redis server, working with numbers, performing basic operations, and handling data structures such as lists and hashes using Java and the Jedis library.
Mastering Redis Transactions and Efficiency with Java and Jedis
4 lessons
Course 4
Mastering Redis for High-Performance Applications with Jedis
4 lessons
Course 5
Implementing a Redis-based Backend System
5 lessons
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21 practices
Building on the basics, this course dives into Redis’s more advanced data structures. Learn how to leverage sets, sorted sets, bitmaps, and geospatial indexes for efficient data handling and unique use cases using Java and Jedis.
This course covers Redis's features for executing atomic operations using pipelines, basic transactions, conditional transactions (using WATCH), and Lua scripting for atomic operations. Learn how to batch commands, implement transactions, work with conditional updates, and leverage Lua scripts for complex atomic operations using Java and Jedis.
Dive deeper into Redis’s persistence options, strategies for performance optimization, and working with Redis Streams. This expert-level course will prepare you to manage key expirations, utilize pub/sub messaging, trigger snapshotting, and handle high-performance scenarios effectively using Java and Jedis.
In this comprehensive course, you'll put together the skills learned to build and maintain a Redis-based backend system. You will get hands-on with managing user data with expiration, implementing sorted set leaderboards, handling transactions with pipelines, utilizing Redis streams for event logging, and implementing pub/sub for notifications using Java and Jedis.
