Advantages of data lakes

• Data lakes allow companies to immediately access all data.
• The data housed in a data lake is not limited to relational or transactional data.
• Data lakes avoid the need to transfer data.
• It also offers more possibilities of use to its users, freeing them from the limitations inherent to information technologies.
• Data lakes speed up development cycles by allowing business units to launch applications quickly.
• It completely helps with productionization and advanced analytics.
• It offers scalability and flexibility while maintaining cost efficiency.
• Deliver value from unlimited data types.
• Reduces long-term cost of ownership.
• Economical file storage solution.
• Easily adaptable to changes.
• The main advantage of a data lake is the ability to centralize different content sources.
• It facilitates flexible access to data for any user, regardless of their organizational or geographic location.

Disadvantages of data lakes

• Unknown area of ​​data processing.
• Data governance.
• Manage the chaos.
• Privacy issues.
• Complexity of legacy data.
• Metadata lifecycle management.
• Desert islands of data.
• The problem of integration.
• The absence of structure in the data can lead to unmanageable and useless data, as well as disparate and complex tools.
• Increases storage and processing costs.
• There is no way to harness the value extracted from the data by others who have previously processed it, due to the absence of a lineage record of previous analyst findings.
• The biggest risk of data lakes lies in security and access control. Some data may be stored without any supervision, while others may be subject to regulatory and privacy requirements.