NoSQL Database Manager Systems (DBMS) are an alternative to analytical systems and
have been used in this regard. As analytical systems often use data multidimensional …

Materialized view selection (MVS) is the problem of selecting an appropriate set of views to
be materialized to speed up analytical query processing of data warehouses. Online …

Abstract Analytical Big Data is a term that is used to store huge data in single unit under one
name. Analytical Big Data describes the structure as well as the data used on daily basis. In …

OLAP (Online Analytical Processing) is a tried-and-tested technology and a core concept in
Business Intelligence. With data flowing from different and countless sources, exploring data …

To facilitate the development of new varieties and conserve plant germplasm data for future
needs, Thailand organizations have developed plant germplasm search systems that …

Introduction: Artificial intelligence development strategy involves the use of deep machine
learning algorithms in order to solve various problems. Neural network models trained on …

Due to unstructured and large amounts of data, relational databases are no longer suitable
for data management. As a result, new databases known as NOSQL have been introduced …

NoSQL solutions are started to be increasingly used in modern days' Data Warehouses
(DW). However, business analysts face challenges when performing On Line Analytical …

The Data Warehouse context is in transformation in private and public organizations. New
proposals for managing large volumes of data have been defined in the literature, such as …

In the era of big data, conventional RDBMS models have become impractical for handling
colossal workloads. Consequently, NoSQL databases have emerged as the preferred …