Simply because the insights that can be derived from unstructured data are so rich, organizations are turning to it more frequently to guide their data-driven operations and decision-making. What purpose does the data lakehouse architecture serve? Organizations looking to advance from BI to AI are a crucial segment. Simply because the insights that can be derived from unstructured data are so rich, organizations are turning to it more frequently to guide their data-driven operations and decision-making.
It is possible to add all of the data to a data lake. However, there would be substantial data governance issues to solve, such as the likelihood that you are handling personal data.
This would be addressed by a lakehouse architecture that automated compliance procedures and, if necessary, even anonymized data.Because new data sources are integrated automatically rather than manually conforming to the organization's data formats and structure, data lakes are less expensive to scale than data warehouses. Instead of using programs that can only access structured data, data can be queried anywhere, using any tool (such as SQL).