Hybrid Online Analytical Processing (HOLAP) refers to a type of Online Analytical Processing (OLAP) technology that combines the advantages of both Multidimensional OLAP (MOLAP) and Relational OLAP (ROLAP) technologies. It is a data warehouse technology that combines the speed and low storage costs of MOLAP with the scalability and flexibility of ROLAP, thus providing both performance and robustness.
HOLAP stores the most accessed data using MOLAP, while the rest of the data is stored using ROLAP. This enables the data warehouse to provide users with both fast answer times and flexibility when querying the data. The data stored in the MOLAP caches is small and can be quickly retrieved from memory. The data stored in the ROLAP caches can be located more efficiently on disk due to its larger size, thus enabling it to scale with larger datasets.
HOLAP also provides users with a variety of query methods, such as roll-up, drill-down, slice-and-dice, and pivoting. These methods are an essential feature of any OLAP solution, as they enable users to analyze their data in different ways.
Overall, HOLAP is a highly versatile and powerful technology for data warehouses. It offers a good compromise between performance and scalability, making it a favorite choice among many data warehouse architects.
