| 1.1 |
Understand the general concept of computational complexity, including time-complexity and space-complexity |
Performance and Big-O Notation in RU101: Introduction to Redis Data Structures; https://en.wikipedia.org/wiki/Computational_complexity |
| 1.2 |
Understand the relative differences between O(1) (constant-time), O(log(n)) (logarithmic), and O(n) (linear-time) complexity |
https://www.bigocheatsheet.com/ |
| 1.3 |
Understand the definition of an atomic operation |
https://en.wikipedia.org/wiki/Atomicity_(database_systems); https://redis.io/topics/transactions |
| 1.4 |
Understand the differences between an in-memory database and an on-disk database. Know that Redis is an in-memory database and that all read and write operations happen in RAM |
https://en.wikipedia.org/wiki/In-memory_database; https://redis.io/topics/faq |
| 1.5 |
Understand, at a high level, the persistence options provided by Redis (disabled, RDB, AOF) |
https://redis.io/topics/faq; https://redis.io/topics/persistence; https://en.wikipedia.org/wiki/Durability_(database_systems) |
| 1.6 |
Understand the differences between Open-Source Redis and Redis Enterprise |
https://redislabs.com/redis-enterprise/ |
| 1.7 |
Understand that Redis has a module API that allows for the development of compiled modules that extend the basic functionality of Redis (RediSearch / RedisBloom / RedisTimeSeries / RedisJSON) |
• https://oss.redislabs.com/redisearch/• https://oss.redislabs.com/redisbloom/• https://oss.redislabs.com/redistimeseries/• https://oss.redislabs.com/redisjson/ |