In today’s data-driven world, enterprises are continually collecting massive volumes of data from multiple sources to drive decision-making, enhance customer experiences, and stay competitive. An Enterprise Data Lake serves as a central repository for all this raw data, allowing organizations to store data of all types, structured or unstructured, at any scale. However, without Data Governance and Data Quality measures in place, the effectiveness of an Enterprise Data Lake can quickly diminish, leading to inconsistent data, compliance risks, and poor decision-making.