what does it mean to Leverage multi-threading to pipelining the workflow in java?
Leveraging multi-threading to pipeline the workflow in Java involves using multiple threads to perform different stages of a process concurrently, thereby improving the overall efficiency and throughput of the application. This is often done in scenarios where tasks can be broken down into smaller, independent stages that can run simultaneously.

### Key Concepts:

1. **Multi-threading**:
   - Multi-threading in Java allows the execution of multiple threads simultaneously. Each thread can run a separate part of a program, which can lead to better resource utilization and improved performance, especially on multi-core processors.

2. **Pipelining**:
   - Pipelining is a technique where the output of one stage (or thread) becomes the input to the next stage. This is akin to an assembly line where different tasks are performed in sequence, but with the added benefit that multiple tasks can be processed at the same time.

### How it Works:

1. **Breaking Down Workflow**:
   - Identify the stages in your workflow. For example, if you have a data processing task, it could involve stages like data fetching, data processing, and data storing.

2. **Creating Threads**:
   - For each stage, you can create a separate thread or use a thread pool. Java provides the `java.util.concurrent` package which includes classes like `ExecutorService` that can manage a pool of threads.

3. **Data Passing**:
   - Use thread-safe data structures (like `BlockingQueue`) to pass data between threads
Leveraging multi-threading in Java allows for pipelining of the workflow. This means that multiple threads can be used to execute tasks concurrently, allowing for faster completion of the overall workflow. This can be done by creating multiple threads, each of which can perform a specific task, and then coordinating the threads so that the tasks can be executed in the most efficient order.