An important strength of a data lake is its capability to store different kinds of data within one framework. It means that structured data like spreadsheets and database tables can be stored together with semi-structured and unstructured data like documents, pictures, and logs. The second strength of a data lake is its scalability as businesses do not have to change their whole storage system when data volume increases. In addition, businesses are able to conduct analytics and machine learning projects using a data lake since people can get access to big data sets for various purposes. Moreover, businesses are likely to detect hidden patterns due to the integration of data from several sources. Nevertheless, proper governance, security, metadata management, and data quality procedures should be performed to avoid difficulties with a data lake.