What methods can be used to increase the speed of data transmission from the database to the user interface via Backend?

To improve the speed of data transmission from the database to the user interface via Backend, the following methods can be applied:

1. Caching — storing frequently requested data in memory (e.g., Redis, Memcached) to avoid querying the database every time.
2. Query optimization — using indexes, avoiding redundant JOINs, selecting only necessary fields.
3. Pagination and lazy loading — sending data in parts to prevent network and client overload.
4. Asynchronous processing — using asynchronous frameworks (e.g., asyncio in Python) for parallel request handling.
5. Data compression — enabling gzip or other compression methods at the HTTP level to reduce data volume.
6. Using WebSocket or Server-Sent Events — for transmitting only changes rather than the entire dataset.

Example of simple caching using Redis in Python:

import redis

cache = redis.Redis(host='localhost', port=6379)

def get_data_from_db():
    # Simulate database query
    return {'key': 'value'}


def get_data():
    cached = cache.get('my_data')
    if cached:
        return cached
    data = get_data_from_db()
    cache.set('my_data', str(data), ex=60)  # cache for 60 seconds
    return data