Describe data hazards in pipelining. How can forwarding and stalls be used to mitigate data hazards?

Data hazards develop as a key worry within the convoluted realm of pipelined processors, where the pursuit of performance meets the challenges of concurrency. Data risks, also known as data dependencies, are circumstances in which the execution of one instruction is dependent on the outcome of a prior instruction. These dependencies, if not managed correctly, can cause inefficiencies, stalls, and even inaccurate outcomes.