Results 211 to 220 of about 34,455 (228)

A Review on OLAP Technologies Applied to Information Networks

ACM Transactions on Knowledge Discovery from Data, 2019
Many real systems produce network data or highly interconnected data, which can be called information networks. These information networks form a critical component in modern information infrastructure, constituting a large graph data volume.
Paulo Orlando Queiroz-Sousa, A. Salgado
semanticscholar   +1 more source

Experimenting and Assessing a Distributed Privacy-Preserving OLAP over Big Data Framework: Principles, Practice, and Experiences

Annual International Computer Software and Applications Conference, 2020
OLAP is an authoritative analytical tool in the emerging big data analytics context, with particular regards to the target distributed environments (e.g., Clouds).
A. Cuzzocrea, Vincenzo De Maio, E. Fadda
semanticscholar   +1 more source

An improved join‐free snowflake schema for ETL and OLAP of data warehouse

Concurrency and Computation, 2019
The emergence of big data makes more and more enterprise change data management strategy, from simple data storage to OLAP query analysis; meanwhile, NoSQL‐based data warehouse receive more increasing attention than traditional SQL‐based database.
Jianmin Wang, Wenbin Zhao, Tongrang Fan, Shilong Yang, Hongwei Lv   +4 more
semanticscholar   +1 more source

Micro-architectural analysis of OLAP

Proceedings of the VLDB Endowment, 2019
Understanding micro-architectural behavior is important for efficiently using hardware resources. Recent work has shown that in-memory online transaction processing (OLTP) systems severely underutilize their core micro-architecture resources [29 ...
Utku Sirin, A. Ailamaki
semanticscholar   +1 more source

A Holistic Approach for Query Evaluation andResult Vocalization in Voice-Based OLAP

SIGMOD Conference, 2019
We focus on the problem of answering OLAP queries via voice output. We present a holistic approach that combines query processing and result vocalization. We use the following key ideas to minimize processing overheads and maximize answer quality. First,
Immanuel Trummer, Yicheng Wang, Saketh Mahankali   +2 more
semanticscholar   +1 more source

Fusion OLAP: Fusing the Pros of MOLAP and ROLAP Together for In-Memory OLAP

IEEE Transactions on Knowledge and Data Engineering, 2019
OLAP models can be categorized with two types: MOLAP (multidimensional OLAP) and ROLAP (relational OLAP). In particular, MOLAP is efficient in multidimensional computing at the cost of cube maintenance, while ROLAP reduces the data storage size at the ...
Yansong Zhang, Yu Zhang, Shan Wang, Jiaheng Lu   +3 more
semanticscholar   +1 more source

HypDB: A Demonstration of Detecting, Explaining and Resolving Bias in OLAP queries

Proceedings of the VLDB Endowment, 2018
On line analytical processing (OLAP) is an essential element of decision-support systems. However, OLAP queries can be biased and lead to perplexing and incorrect insights.
Babak Salimi, Corey Cole, Peter Li, J. Gehrke, Dan Suciu   +4 more
semanticscholar   +1 more source

A Comprehensive Survey of OLAP: Recent Trends

2019 3rd International conference on Electronics, Communication and Aerospace Technology (ICECA), 2019
A Multi-Dimensional Database (MDD) is a type of database for performing Data Warehousing and OLAP Operations. They are often made contribution for existing relational databases. The On-Line Analytical Processing (OLAP) is a Multidimensional database that
Adhish Nanda, Swati Gupta, Meenu Vijrania   +2 more
semanticscholar   +1 more source

OLAP parallel query processing in clouds with C‐ParGRES

Concurrency and Computation, 2019
The advent of big data technologies has changed the way many companies manage their data. Several companies moved their data to the cloud using the concept of database‐as‐a‐service (DBaaS).
M. M. Ribeiro, Alexandre A. B. Lima, Daniel de Oliveira   +2 more
semanticscholar   +1 more source

Parallel Replication across Formats in SAP HANA for Scaling Out Mixed OLTP/OLAP Workloads

Proceedings of the VLDB Endowment, 2017
Modern in-memory database systems are facing the need of efficiently supporting mixed workloads of OLTP and OLAP. A conventional approach to this requirement is to rely on ETL-style, application-driven data replication between two very different OLTP and
Juchang Lee, Seunghyun Moon, Kyu Hwan Kim, D. Kim, S. Cha, Wook-Shin Han, Chang Gyoo Park, Hyoung-Jun Na, Joo-Yeon Lee   +8 more
semanticscholar   +1 more source