What approaches can be used to speed up the process of processing data from multiple sources to reduce load time?

To accelerate data processing from multiple sources, the following approaches can be applied:

• Parallel processing: use multithreading or asynchronous calls to obtain and process data simultaneously.
• Caching: store frequently used data to avoid requesting it repeatedly.
• Query optimization: minimize the number and volume of data requested from sources.
• Batch processing: combine requests to reduce the number of calls.
• Streaming data: process data as it arrives, without waiting for full loading.

Example in Java using CompletableFuture for parallel data retrieval:

CompletableFuture<Data> source1 = CompletableFuture.supplyAsync(() -> fetchDataFromSource1());
CompletableFuture<Data> source2 = CompletableFuture.supplyAsync(() -> fetchDataFromSource2());

CompletableFuture<Void> combined = CompletableFuture.allOf(source1, source2);
combined.thenRun(() -> {
    Data data1 = source1.join();
    Data data2 = source2.join();
    process(data1, data2);
});