Data Lake data captured in Object Storage has the following characteristics: 1) Mixed data types: Data lakes can store a wide variety of data types, including structured, semi-structured, and unstructured data. 2) Schema on read: Unlike traditional databases that enforce a schema when writing data, data lakes allow for schema to be applied when the data is read. This flexibility is crucial for data exploration and analysis. 3) Multiple subject areas: Data lakes are designed to handle data from various sources and subject areas, making them versatile and scalable for broad analytical purposes.