English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Facing with growing data volumes and deeper analysis requirements, current development of Business Intelligence (BI) and Data warehousing systems (DWHs) is a challenging and complicated task, which largely involves in ad-hoc integration and data re-engineerng. This arises an increasing requirement for a scalable  application framework which can be used for the implementation and administration of diverse BI appliations in a straight forward and cost-efficient way. In this  context, this paper presents a large-scale application framework for standardized BI applications, suporting the ability to define and construct data warehouse processes, new data analytics capabilities as well as to support the deployment requirements of multiscalable front-end applications. The core of the framework  consists of defined metadata repositories with pre-built and function specific information templates as well as application definition. Moreover, the application  framework is also based on workflow mechanisms for developing and running automatic data processing tasks. Hence, the framework is capable of offering an unified reference architecture to end users, which spans various aspects of development lifecycle and can be adapted or extended to better meet application- specific BI engineering process

Towards the Development of Large-Scale Data Warehouse Application Frameworks