Partitioning and indexing are great, but have you tried columnar storage? Tools like Apache Parquet or ClickHouse optimize data retrieval by storing data column-wise instead of row-wise.
For massive datasets, this can be a game-changer—way faster for analytical queries. Also, consider pre-aggregating data if you don’t need raw precision.
NoSQL can be messy for complex queries, but it’s killer for simple key-value lookups. Maybe hybrid approach?
For massive datasets, this can be a game-changer—way faster for analytical queries. Also, consider pre-aggregating data if you don’t need raw precision.
NoSQL can be messy for complex queries, but it’s killer for simple key-value lookups. Maybe hybrid approach?