Difference Between a Data Lake and a Data Warehouse | @BigDataExpo #BigData #DataLake #Storage

The data warehouse and data lake are two different types of data storage repository. The data warehouse integrates data from different sources and suits business reporting. The data lake stores raw structured and unstructured data in whatever form the data source provides. It does not require prior knowledge of the analyses you think you want to perform. A data lake is a storage repository that holds a vast amount of raw data in its native format until it is needed. While a hierarchical data warehouse stores data in files or folders, a data lake uses a flat architecture to store data.

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