What is involved in the Build phase of Dataset creation?

The Build phase of Dataset creation primarily focuses on cleaning and preparing data to ensure it is ready for user access. This stage is crucial because it involves various tasks such as removing duplicates, correcting errors, and formatting the data appropriately so that users can effectively analyze and gain insights from it. Proper cleaning and preparation also help enhance the overall quality of the dataset, making it more reliable for decision-making processes.

While other options might seem relevant in broader data management contexts, they do not pertain specifically to the Build phase. Downloading logs is more related to tracking or auditing, uploading documents typically involves data input rather than preparation, and monitoring user activity falls under user engagement rather than dataset creation. Thus, cleaning and preparing the data is the central activity in the Build phase.