HybridDataLake
HybridDataLake is a conceptual approach to data management that combines elements of both data lakes and data warehouses. The goal is to leverage the strengths of each architecture while mitigating their weaknesses. Traditional data lakes are known for their flexibility and ability to store vast amounts of raw, unstructured, and semi-structured data without requiring a predefined schema. However, they can sometimes become data swamps, making it difficult to find, govern, and analyze data effectively. Data warehouses, on the other hand, are designed for structured data with a defined schema, enabling robust analytics and reporting but often struggle with the ingestion of diverse data types and the agility required for emerging data sources.
A HybridDataLake seeks to bridge this gap. It typically involves a layered architecture. The initial layer