An OLAP cube is a data structure in the data warehouse that is optimized for improving the performance of data analysis. An OLAP cube is sometimes referred to as a hypercube. OLAP cubes contain multidimensional data and information from different unrelated sources for logical and orderly analysis.
An OLAP cube is a data structure in the data warehouse that is optimized for improving the performance of data analysis. An OLAP cube is sometimes referred to as a hypercube. OLAP cubes contain multidimensional data and information from different unrelated sources for logical and orderly analysis.
The answer is no, they are different. Data warehouse is an archive where historical corporate data is stored and can be analyzed then. It can use different technologies for data extraction and analyzing. And OLAP is one of those technologies that analyze and evaluate data from the data warehouse.
OLAP stands for online analytical processing and allows for rapid calculation of key business metrics, planning and forecasting functions, as well as what-if analysis of large data volumes. Frontend tools are in the top tier of the data warehouse architecture. They are comprised of the query, reporting, analysis, and data mining tools.
OLAP tools are designed for multidimensional analysis of data in a data warehouse, which contains both transactional and historical data. In fact, an OLAP server is typically the middle, analytical tier of a data warehousing solution.