The Multi-Tenant Distributed Data Architecture Framework (MTD-DAF): A High-Level Architecture for Scalable, Segregated, and Efficient Enterprise Lakehouse Systems Article Swipe
Modern enterprises increasingly operate in environments where multiple business domains, functional units, operational groups, or external partners must share common data infrastructure while maintaining strict isolation, governance, and performance guarantees. Traditional data warehouses and lakehouse platforms, designed for monolithic or single-tenant usage, struggle to address the diversity of requirements introduced by heterogeneous tenant workloads, varying consumption patterns, and complex governance boundaries. As organizations embrace shared analytical platforms to reduce cost and accelerate insight generation, the need for scalable, secure, resource-efficient, multi-tenant data architectures has become critical. This white paper introduces the Multi-Tenant Distributed Data Architecture Framework (MTD-DAF), a high-level architectural model conceptualized and authored by Aniruddh Tiwari. MTD-DAF offers a unified conceptual blueprint for constructing modern enterprise data warehouse and lakehouse systems capable of supporting tenant-segregated data operations while leveraging common infrastructure. The framework outlines architectural principles for tenant isolation, workload differentiation, metadata-driven orchestration, distributed resource governance, and cross-tenant observability—entirely at a conceptual level without disclosing implementation details. MTD-DAF addresses long-standing challenges in multi-tenant environments, including inconsistent governance boundaries, inefficient resource utilization, data leakage risks, and difficulty maintaining simultaneous performance guarantees for diverse workloads. Its principles have informed enterprise modernization efforts across industries and contributed to evolving best practices in data engineering and distributed system design. This paper offers a patent-safe description of MTD-DAF’s conceptual structure, enterprise value, and industry applicability. It highlights the originality, significance, and cross-sector impact of the framework, positioning it as a meaningful contribution to the field of data warehousing, lakehouse engineering, and distributed data architecture.
Related Topics
- Type
- report
- Landing Page
- https://doi.org/10.5281/zenodo.17888899
- OA Status
- green
- OpenAlex ID
- https://openalex.org/W7114932267
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W7114932267Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.5281/zenodo.17888899Digital Object Identifier
- Title
-
The Multi-Tenant Distributed Data Architecture Framework (MTD-DAF): A High-Level Architecture for Scalable, Segregated, and Efficient Enterprise Lakehouse SystemsWork title
- Type
-
reportOpenAlex work type
- Publication year
-
2025Year of publication
- Publication date
-
2025-12-10Full publication date if available
- Authors
-
Tiwari, AniruddhList of authors in order
- Landing page
-
https://doi.org/10.5281/zenodo.17888899Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.5281/zenodo.17888899Direct OA link when available
- Concepts
-
Computer science, Data governance, Data warehouse, Architecture framework, Blueprint, Enterprise architecture, Data architecture, Enterprise integration, Enterprise system, Enterprise resource planning, Distributed database, Enterprise data management, Data modeling, Enterprise architecture framework, Knowledge management, Enterprise information system, Enterprise systems engineering, Enterprise architecture management, Process management, Architecture, View model, Distributed computing, Conceptual framework, Data access, Data virtualization, Software engineering, Conceptual model, Workload, Big data, Resource (disambiguation), Data migration, Data science, Systems architecture, Database, Data model (GIS), Reference architecture, Data management, Data transformation, Enterprise life cycle, Systems engineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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| abstract_inverted_index.secure, | 78 |
| abstract_inverted_index.systems | 121 |
| abstract_inverted_index.unified | 110 |
| abstract_inverted_index.varying | 54 |
| abstract_inverted_index.without | 154 |
| abstract_inverted_index.Aniruddh | 105 |
| abstract_inverted_index.authored | 103 |
| abstract_inverted_index.business | 8 |
| abstract_inverted_index.designed | 36 |
| abstract_inverted_index.details. | 157 |
| abstract_inverted_index.domains, | 9 |
| abstract_inverted_index.evolving | 196 |
| abstract_inverted_index.external | 15 |
| abstract_inverted_index.industry | 219 |
| abstract_inverted_index.informed | 187 |
| abstract_inverted_index.multiple | 7 |
| abstract_inverted_index.outlines | 134 |
| abstract_inverted_index.partners | 16 |
| abstract_inverted_index.resource | 145, 170 |
| abstract_inverted_index.struggle | 42 |
| abstract_inverted_index.workload | 140 |
| abstract_inverted_index.Framework | 95 |
| abstract_inverted_index.addresses | 159 |
| abstract_inverted_index.blueprint | 112 |
| abstract_inverted_index.critical. | 85 |
| abstract_inverted_index.diversity | 46 |
| abstract_inverted_index.framework | 133 |
| abstract_inverted_index.including | 165 |
| abstract_inverted_index.lakehouse | 34, 120, 244 |
| abstract_inverted_index.patterns, | 56 |
| abstract_inverted_index.platforms | 66 |
| abstract_inverted_index.practices | 198 |
| abstract_inverted_index.scalable, | 77 |
| abstract_inverted_index.warehouse | 118 |
| abstract_inverted_index.(MTD-DAF), | 96 |
| abstract_inverted_index.accelerate | 71 |
| abstract_inverted_index.analytical | 65 |
| abstract_inverted_index.challenges | 161 |
| abstract_inverted_index.conceptual | 111, 152, 214 |
| abstract_inverted_index.difficulty | 176 |
| abstract_inverted_index.disclosing | 155 |
| abstract_inverted_index.enterprise | 116, 188, 216 |
| abstract_inverted_index.framework, | 231 |
| abstract_inverted_index.functional | 10 |
| abstract_inverted_index.governance | 59, 167 |
| abstract_inverted_index.guarantees | 180 |
| abstract_inverted_index.high-level | 98 |
| abstract_inverted_index.highlights | 222 |
| abstract_inverted_index.industries | 192 |
| abstract_inverted_index.introduced | 49 |
| abstract_inverted_index.introduces | 89 |
| abstract_inverted_index.isolation, | 25, 139 |
| abstract_inverted_index.leveraging | 129 |
| abstract_inverted_index.meaningful | 236 |
| abstract_inverted_index.monolithic | 38 |
| abstract_inverted_index.operations | 127 |
| abstract_inverted_index.platforms, | 35 |
| abstract_inverted_index.principles | 136, 185 |
| abstract_inverted_index.structure, | 215 |
| abstract_inverted_index.supporting | 124 |
| abstract_inverted_index.warehouses | 32 |
| abstract_inverted_index.workloads, | 53 |
| abstract_inverted_index.workloads. | 183 |
| abstract_inverted_index.Distributed | 92 |
| abstract_inverted_index.MTD-DAF’s | 213 |
| abstract_inverted_index.Traditional | 30 |
| abstract_inverted_index.boundaries, | 168 |
| abstract_inverted_index.boundaries. | 60 |
| abstract_inverted_index.consumption | 55 |
| abstract_inverted_index.contributed | 194 |
| abstract_inverted_index.description | 211 |
| abstract_inverted_index.distributed | 144, 203, 247 |
| abstract_inverted_index.engineering | 201 |
| abstract_inverted_index.enterprises | 1 |
| abstract_inverted_index.generation, | 73 |
| abstract_inverted_index.governance, | 26, 146 |
| abstract_inverted_index.guarantees. | 29 |
| abstract_inverted_index.inefficient | 169 |
| abstract_inverted_index.maintaining | 23, 177 |
| abstract_inverted_index.operational | 12 |
| abstract_inverted_index.patent-safe | 210 |
| abstract_inverted_index.performance | 28, 179 |
| abstract_inverted_index.positioning | 232 |
| abstract_inverted_index.Architecture | 94 |
| abstract_inverted_index.Multi-Tenant | 91 |
| abstract_inverted_index.constructing | 114 |
| abstract_inverted_index.contribution | 237 |
| abstract_inverted_index.cross-sector | 227 |
| abstract_inverted_index.cross-tenant | 148 |
| abstract_inverted_index.engineering, | 245 |
| abstract_inverted_index.environments | 5 |
| abstract_inverted_index.inconsistent | 166 |
| abstract_inverted_index.increasingly | 2 |
| abstract_inverted_index.multi-tenant | 80, 163 |
| abstract_inverted_index.originality, | 224 |
| abstract_inverted_index.requirements | 48 |
| abstract_inverted_index.simultaneous | 178 |
| abstract_inverted_index.utilization, | 171 |
| abstract_inverted_index.warehousing, | 243 |
| abstract_inverted_index.architectural | 99, 135 |
| abstract_inverted_index.architecture. | 249 |
| abstract_inverted_index.architectures | 82 |
| abstract_inverted_index.environments, | 164 |
| abstract_inverted_index.heterogeneous | 51 |
| abstract_inverted_index.long-standing | 160 |
| abstract_inverted_index.modernization | 189 |
| abstract_inverted_index.organizations | 62 |
| abstract_inverted_index.significance, | 225 |
| abstract_inverted_index.single-tenant | 40 |
| abstract_inverted_index.applicability. | 220 |
| abstract_inverted_index.conceptualized | 101 |
| abstract_inverted_index.implementation | 156 |
| abstract_inverted_index.infrastructure | 21 |
| abstract_inverted_index.orchestration, | 143 |
| abstract_inverted_index.infrastructure. | 131 |
| abstract_inverted_index.metadata-driven | 142 |
| abstract_inverted_index.differentiation, | 141 |
| abstract_inverted_index.tenant-segregated | 125 |
| abstract_inverted_index.resource-efficient, | 79 |
| abstract_inverted_index.observability—entirely | 149 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 1 |
| citation_normalized_percentile |