Fast access of data from Data Warehouse (DW) is a need for today's Business Intelligence
(BI). In the era of Big Data, the cache is regarded as one of the most effective techniques to …

The rise of big data has resulted in the proliferation of numerous heterogeneous data stores.
Even though multiple models are used for integrating these data, combining such huge …

Nowadays, data-intensive applications face the problem of handling heterogeneous data
with sometimes mutually exclusive use cases and soft non-functional goals such as …

Cloud computing is currently one of the prime choices in the computing infrastructure
landscape. In addition to advantages such as the pay‐per‐use bill model and resource …

Visual analytics solutions have been growing in popularity in recent years, not only for
showing final results but also for assisting in interactive analysis and decision-making …

Combining data sources from NoSQL and SQL systems leads to data distribution and
complexifies user queries: data is distributed among different stores having different data …

Relational Database Management System (RDBMS) was the most used storage and query
processing engine for data warehousing applications till the arrival of Bigdata stores …

The combination of Online Transactional Processing and Online Analytical Processing into
one system is an emerging area in database research called Hybrid Transactional and …

Hybrid cloud is proposed as a solution for ensuring security and privacy for data outsourced
to cloud. Hybrid cloud uses a mix of both private and public cloud with distribution of …

Fast access of data from Data Warehouse (DW) is a need for today's Business Intelligence
(BI). In the era of Big Data, cache is regarded as one of the most effective technique to …