Server-side data caching techniques are an important tool for optimizing the performance of web applications. These techniques involve storing frequently accessed data in a cache to reduce the need to retrieve it from the database.

1. To implement server-side data caching, the first step is to identify the data that is most frequently accessed by our application. This can be done by profiling our application's queries and analyzing the data access patterns. Once we have identified the frequently accessed data, we can determine which data should be cached.

2. There are several caching technologies available, including in-memory caches like Memcached and Redis, as well as distributed caches like Hazelcast and Apache Ignite. We will need to choose a caching technology that best fits our use case and requirements.

3. Once we have chosen a caching technology, we will need to configure it to work with our application. This involves setting up caching parameters like cache size, expiration time, and eviction policies.

4. Implementing caching in our application involves modifying our application code to check the cache for data before querying the database. If the data is not in the cache, the application retrieves it from the database and stores it in the cache for future use.

5. It's important to monitor the performance of your caching layer and tune it as needed. This may involve adjusting cache parameters, changing caching algorithms, or adding additional caching layers.

Overall, server-side data caching techniques can significantly improve the performance of web applications by reducing the need to retrieve frequently accessed data from the database. Properly implemented and configured caching can lead to faster response times, improved scalability, and reduced database load.