Data Lakes for Manufacturing
In today’s data-driven landscape, organizations are increasingly turning to data lakes to harness vast amounts of information. However, building a data lake is not just a technical challenge; it involves significant business considerations that can determine its success or failure. Before diving into the technical aspects, businesses must clearly define their objectives. For manufacturers, this could mean improving production efficiency, reducing downtime, or enhancing product quality:
