A New Big Data Benchmark for OLAP Cube Design Using Data Pre-Aggregation Techniques
In recent years, several new technologies have enabled OLAP processing over Big Data sources. Among these technologies, we highlight those that allow data pre-aggregation because of their demonstrated performance in data querying.
Roberto Tardío +2 more
doaj +2 more sources
StreamingCube: Seamless Integration of Stream Processing and OLAP Analysis
Many organizations require real-time analysis of their business data streams to make instantaneous decisions. Data streams are often multidimensional and at the lowest level of abstraction, yet analysts are interested in their multilevel interactive ...
Salman Ahmed Shaikh, Hiroyuki Kitagawa
doaj +2 more sources
Maximizing Persistent Memory Bandwidth Utilization for OLAP Workloads
Modern database systems for online analytical processing (OLAP) typically rely on in-memory processing. Keeping all active data in DRAM severely limits the data capacity and makes larger deployments much more expensive than disk-based alternatives.
Björn Daase +3 more
semanticscholar +1 more source
A dataspace-based framework for OLAP analyses in a high-variety multistore
The success of NoSQL DBMSs has pushed the adoption of polyglot storage systems that take advantage of the best characteristics of different technologies and data models.
Chiara Forresi +3 more
semanticscholar +1 more source
Olimpíada brasileira de informática no município de Videira/SC: ferramenta web para avaliar o perfil dos competidores [PDF]
Neste texto se apresenta um trabalho que teve como objetivo a criação de uma ferramenta que permitisse realizar consultas analíticas online - olaps - sobre os dados dos competidores das escolas de Videira/SC que participaram da Olimpíada Brasileira de ...
Leila Lisiane Rossi +3 more
doaj +1 more source
FPGA-based heterogeneous acceleration study for multidimensional cubing [PDF]
Today’s information processing not only faces an explosion of data volume and data dimensions, but also has to meet the growing user requirements for timeliness.
Meng Yuan, Yang Jun, Li Jun
doaj +1 more source
Machine Learning and OLAP on Big COVID-19 Data
In the current technological era, huge amounts of big data are generated and collected from a wide variety of rich data sources. These big data can be of different levels of veracity in the sense that some of them are precise while some others are ...
C. Leung +4 more
semanticscholar +1 more source
Design and Implementation of OLAP System for Distributed Data Warehouse [PDF]
Data warehousing and on-line analytical processing (OLAP) are essential elements of decision support, which has increasingly become a focus of the database industry.
Murtadha Hamad, Abdullah Mahdi
doaj +1 more source
Data transaksi penjualan yang ada dalam divisi penjualan terkait data penjualan barang begitu besar dan banyak sehingga membutuhkan media penyimpanan yang besar dan sulit mengolah data-data tersebut untuk pembuatan laporan yang digunakan oleh manajemen ...
Heni Sulistiani +2 more
semanticscholar +1 more source
Detecting Valuable Customers Using the Trade Patterns of Financial Transactions Applying Integrated RFM and OLAP [PDF]
One of the challenges that banks are faced with is recognition and differentiation of customers and providing customized services to them. Recognizing valuable customers based on their field of business is one of the key objectives and competitive ...
Shima Khalilinezhad +3 more
doaj +1 more source

