Data Cube Materialization and Mining over MapReduce

A Simple and Efficient MapReduce Algorithm for Data Cube Materialization

Data cube materialization is a classical database operator introduced in Gray et al. (Data Mining and Knowledge Discovery, Vol. 1), which is critical for many analysis tasks. Nandi et al. (Transactions on Knowledge and Data Engineering, Vol. 6) first studied cube materialization for large scale datasets using the MapReduce framework, and proposed a sophisticated modification of a simple broadca...

View Materialization in a Data Cube: Optimization Models and Heuristics

Data Cube Computational Model with Hadoop MapReduce

XML has become a widely used and well structured data format for digital document handling and message transmission. To find useful knowledge in XML data, data warehouse and OLAP applications aimed at providing supports for decision making should be developed. Apache Hadoop is an open source cloud computing framework that provides a distributed file system for large scale data processing. In th...

Selective Materialization: an Eecient Method for Spatial Data Cube Construction

On-line analytical processing (OLAP) has gained its popularity in database industry. With a huge amount of data stored in spatial databases and the introduction of spatial components to many relational or object-relational databases, it is important to study the methods for spatial data warehousing and on-line analytical processing of spatial data. In this paper, we study methods for spatial OL...

Selective Materialization: An Efficient Method for Spatial Data Cube Construction