Following our previous research results, in this paper we provide two authoritative application scenarios that build on top of OLAP*, a middleware for parallel processing of OLAP queries that truly realizes effective and efficiently OLAP over Big Data. We have provided two authoritative case studies, namely parallel OLAP data cube processing and virtual OLAP data cube design, for which we also propose a comprehensive performance evaluation and analysis. Derived analysis clearly confirms the benefits of our proposed framework
Ever increasing main memory sizes and the advent of multi-core parallel processing have fostered the...
As the architecture for clients of a client-server OLAP system, the client-centric system distinguis...
International audienceWe consider the problem of improving the performance of OLAP applications in a...
Starting from the combination of two emerging research areas, namely OLAP-based big data analytics t...
Inspired by the emerging Big Data challenge, in this paper we provide the description of OLAP*, a Cl...
In contrast to queries for on-line transaction processing (OLTP) systems that typically access only ...
As the volume of data to be processed in a timely manner soars, the scale of computing and storage s...
The conventional researches on a distributed On-Line Analytical Processing (OLAP) system have been i...
Abstract—In contrast to queries for on-line transaction pro-cessing (OLTP) systems that typically ac...
Online Analytical Processing (OLAP) systems with Big Data support allow storing tables of up to tens...
Data warehousing and OLAP over Big Data is becoming one of the emergent challenges for next-generati...
Data Warehousing and OLAP over Big Data is becoming one of the emergent challenges for next-generati...
In contrast to queries for on-line transaction processing (OLTP) systems that typically access only ...
Online Analytical Processing (OLAP) is a method used for analyzing data within business intelligence...
International audienceIn recent years, facing information explosion, industry and academia have adop...
Ever increasing main memory sizes and the advent of multi-core parallel processing have fostered the...
As the architecture for clients of a client-server OLAP system, the client-centric system distinguis...
International audienceWe consider the problem of improving the performance of OLAP applications in a...
Starting from the combination of two emerging research areas, namely OLAP-based big data analytics t...
Inspired by the emerging Big Data challenge, in this paper we provide the description of OLAP*, a Cl...
In contrast to queries for on-line transaction processing (OLTP) systems that typically access only ...
As the volume of data to be processed in a timely manner soars, the scale of computing and storage s...
The conventional researches on a distributed On-Line Analytical Processing (OLAP) system have been i...
Abstract—In contrast to queries for on-line transaction pro-cessing (OLTP) systems that typically ac...
Online Analytical Processing (OLAP) systems with Big Data support allow storing tables of up to tens...
Data warehousing and OLAP over Big Data is becoming one of the emergent challenges for next-generati...
Data Warehousing and OLAP over Big Data is becoming one of the emergent challenges for next-generati...
In contrast to queries for on-line transaction processing (OLTP) systems that typically access only ...
Online Analytical Processing (OLAP) is a method used for analyzing data within business intelligence...
International audienceIn recent years, facing information explosion, industry and academia have adop...
Ever increasing main memory sizes and the advent of multi-core parallel processing have fostered the...
As the architecture for clients of a client-server OLAP system, the client-centric system distinguis...
International audienceWe consider the problem of improving the performance of OLAP applications in a...