How did you achieve a 50-70% query optimization and reduce analytics costs?

Query optimization by 50-70% and reduction of analytics costs is achieved through several approaches:

1. Query analysis and refactoring — identifying redundant or inefficient JOINs, filters, aggregations.
2. Using indexes — creating and optimizing indexes to speed up queries.
3. Caching results — storing frequently requested data in memory or fast storage.
4. Parallelization and batching — executing queries in batches or in parallel to reduce wait times.
5. Data structure optimization — denormalization or schema changes to simplify queries.

For example, in Go, you can profile queries, use prepared statements, and connection pools to the database to improve performance. It is also important to monitor load and adjust queries based on analysis results.