“What kinds of OLAP servers are there?” OLAP servers present multidimensional data from the data warehouse or data marts to business users, without worrying about how or where the data is stored. However, the physical architecture implementation OLAP servers must consider data storage issues. The implementation of a warehouse for OLAP processing includes the following.
Relational OLAP server
There are the intermediate servers that stand between a relational back-end server and the customer’s front-end tools. They use a relational or extended DBMS to store and manage warehouse data, and OLAP middleware to accommodate missing pieces. ROLAP servers include optimization for each DBMS backend, deployment aggregation navigation logic, and additional tools and services. ROLAP technology tends to have greater scalability than MOLAP technology.
Multidimensional OLAP servers
These servers support multidimensional views of data through multidimensional array-based storage engines. They map multidimensional views directly to the data cube matrix structure. The advantage of using a data cube is that it allows you to index previously calculated summary data. Note that with multidimensional data stores, storage utilization can be low if the data set is sparse. In such cases, sparse matrix compression techniques should be explored.
Many MOLAP servers adopt a two-tier storage representation to handle sparse and dense data sets: dense subcubes are identified and stored as array structures, while sparse subcubes employ compression technology for efficient utilization of data storage.
HLOP servers
The hybrid OLAP approach combines ROLAP and MOLAP technology, benefiting from ROLAP’s greater scalability and faster computation. For example, a HOLAP server can allow a large volume of detailed data to be stored in a relational database, while aggregations are kept in a separate MOLAP store.
Specialized SQL servers
To meet the growing demand for OLAP processing in relational databases, some relational and data warehousing companies implement specialized SQL servers that provide advanced query language and query processing support for SQL queries on star and snowflake schemas. in a read-only environment.
“So how is data actually stored in the ROLAP and MOLAP architecture?” As the name implies, ROLAP uses relational tables to store data for online analytical processing. And in MOLAP the data is stored in cubic form.
SAP is a software organization that uses OLAP servers to develop its intelligent software. Thanks to this technology, data mining and web mining is possible. Three-dimensional reports are generated that are very useful for management to distribute its decisions. This software is much more reliable and smarter than the software that existed in the past.
