A data lake is a storage repository that allows organizations to store vast amounts of raw, unprocessed data from diverse sources, including sensors, logs, social media, and operational systems. Unlike traditional data warehouses, which store structured data in predefined formats, a data lake can accommodate unstructured or semi-structured data, such as images, videos, and text. In manufacturing, a data lake might store data from machines, IoT devices, production lines, and supply chains, providing a comprehensive view of operations. The data can later be processed and analyzed using big data technologies, machine learning, and advanced analytics. For example, by analyzing sensor data from production equipment stored in a data lake, a manufacturer can predict equipment failures or optimize production schedules. Data lakes offer flexibility, scalability, and cost-effectiveness, making them a powerful tool for handling the growing complexity and volume of data in modern manufacturing.