How to select appropriate tools in the data warehouse project, so that engineering and technical personnel and business management personnel often face difficulties when choosing OLAP tools, generally, we should consider the features, applicability, performance, scalability, and future development trends of the product in five aspects. In general, the importance of these five aspects is very difficult, but you should pay attention to the following points:
● Although features are the most eye-catching and obvious, the product leader of a specific version is often short-term due to faster product and technology development;
● In data warehouse engineering practices, customers' requirements are often unstable and will change with the progress of engineering projects. Therefore, the adaptability of products is very important;
● Performance needs to be weighed based on the actual needs of the project and the input. From this perspective, performance depends on investment to a certain extent;
● In the long run, applicability, scalability, and future development trends are three very important factors;
● In terms of functions, if you want to select a multi-dimensional database product, pay attention to the product's restrictions on the number of dimensions, cross-dimensional processing capabilities, data aggregation computing capabilities, and data read/write processing capabilities. If you choose a relational database product, pay attention to its ability to provide multi-dimensional data view, multi-dimensional analysis, data volume restrictions, restrictions on the number of concurrent users, and dimensional exchange capabilities.