Great thread! Normalization of data is a must for transactional systems like e-commerce or banking where consistency is key. But for analytics? Nah.
I’ve seen teams over-normalize and then struggle with slow queries because of too many joins. Denormalization can be a game-changer for read-heavy apps—just gotta deal with some redundancy.
Tools like Apache Cassandra work great for denormalized setups if you need speed.
I’ve seen teams over-normalize and then struggle with slow queries because of too many joins. Denormalization can be a game-changer for read-heavy apps—just gotta deal with some redundancy.
Tools like Apache Cassandra work great for denormalized setups if you need speed.