If we need to define the term Data Lake, it can be defined as a vast repository of a variety of enterprise-wide, raw information that can be acquired, processed, analyzed and delivered.
A Data Lake acquires data from multiple sources in an enterprise in its native form and may also have internal, modeled forms of this same data for various purposes. The information thus handled could be any type of information, ranging from structured or semi-structured data to completely unstructured data. A Data Lake is expected to be able to derive enterprise-relevant meanings and insights from this information using various analysis and machine learning algorithms.
