Paper Title

Designing Scalable Multi-Tenant BI Architectures with Role-Based Security and Section Access

Authors

Ajay Kumar

Keywords

Multi-Tenant BI, Role-Based Security, Section Access, Qlik Sense, Power BI, Tableau.

Abstract

This article explores the design and implementation of scalable multi-tenant Business Intelligence (BI) architectures with a focus on role-based security and Section Access mechanisms. It outlines the challenges and best practices involved in serving multiple tenants or user groups through a unified BI environment while preserving strict data isolation, performance efficiency, and compliance. The discussion includes an in-depth analysis of role-based access control, Qlik’s Section Access, identity management integration, and performance tuning in multi-tenant environments. A real-world case study illustrates how a SaaS analytics provider successfully deployed a secure and scalable BI platform for over 50 clients. The article concludes with a summary of common pitfalls and key recommendations for enterprise BI teams looking to implement or enhance multi-tenant solutions.

How To Cite

"Designing Scalable Multi-Tenant BI Architectures with Role-Based Security and Section Access", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.6, Issue 11, page no.212-221, November-2021, Available :https://ijsdr.org/papers/IJSDR2111036.pdf

Issue

Volume 6 Issue 11, November-2021

Pages : 212-221

Other Publication Details

Paper Reg. ID: IJSDR_304143

Published Paper Id: IJSDR2111036

Downloads: 000111

Research Area: Science and Technology

Country: -, -, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2111036

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2111036

About Publisher

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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