Performance Analysis for Cloud-Based Olap over Big Data

OLAP-based middleware for parallel OLAP query processing is presented in this study, which builds on previous research results to provide two new areas of authority application built on top of OLAP. This multi-faceted investigation of several business viewpoints is referred to as "online analytical processing" (OLAP).The fundamental purpose of OLAP systems is to allow users to conduct manual interpretation and analysis of corporate summary and extensive statistics. It's critical to realise that OLAP require users to know what data they are looking for OLAP merely analyses past facts, whereas "data-mining techniques" allow organisations to make predictions about future events. Clustering, identifying, and predictive analysis approaches are the three types of data-mining approaches. This research has considered secondary data collection method to gather informative and relevant "cloud based OLAP over big data" related information from different secondary sources such as journals, articles.