Prashant Rao

Data storage and management are pivotal in the realm of data engineering, with data lakes and data warehouses representing two fundamentally different approaches. This panel will contrast these two architectures, discussing their respective advantages and ideal use cases. Panelists will cover data lakes' ability to store vast amounts of unstructured data, offering flexibility and scalability, particularly beneficial for big data analytics. Conversely, the discussion will highlight data warehouses' structured environment, which is optimized for efficiency and speed in querying, making it suitable for business intelligence and reporting. The debate will also touch on considerations such as cost, complexity, data integrity, and future-readiness of each architecture, providing a comprehensive understanding of when and how each should be implemented in a business context.