International Journal of Advanced Multidisciplinary Research and Studies
Volume 3, Issue 5, 2023
Scaling Knowledge Exchange in the Global Data Community: The Rise of dbt Nigeria as a Benchmark Model
Author(s): Joshua Oluwagbenga Ajayi, Oyetunji Oladimeji, Damilola Christiana Ayodeji, Eseoghene Daniel Erigha, Bukky Okojie Eboseremen, Adegbola Oluwole Ogedengbe, Ehimah Obuse, Ayorinde Olayiwola Akindemowo
DOI: https://doi.org/10.62225/2583049X.2023.3.5.4812
Abstract:
As the global data ecosystem evolves, knowledge exchange has become a foundational pillar for advancing analytics capabilities, particularly in emerging markets. This explores the rise of dbt Nigeria as a benchmark model for scaling collaborative data practices, fostering local capacity building, and bridging the global-local knowledge gap in analytics engineering. With the proliferation of dbt (data build tool) as a standard for transforming and managing analytics workflows, communities like dbt Nigeria have played a pivotal role in contextualizing these practices within the unique constraints and opportunities of the Nigerian data landscape. Established as a grassroots initiative, dbt Nigeria has grown into a vibrant hub of learning, mentorship, and open collaboration. Through structured programming—including hands-on workshops, localized content creation, GitHub contributions, and peer-led mentorship—dbt Nigeria has enabled the development of a new generation of analytics engineers equipped with modern tooling and best practices. Moreover, the community has catalyzed cross-sector collaboration, bringing together stakeholders from startups, enterprises, academia, and non-profits to foster an inclusive and sustainable data culture. The model’s impact is evident in increased dbt adoption across Nigerian organizations, improved job readiness of local talent, and global recognition through contributions to the wider dbt ecosystem. Despite challenges such as infrastructure limitations and sustainability concerns, dbt Nigeria offers valuable lessons in community leadership, localization of global tools, and democratized knowledge dissemination. This argues that the success of dbt Nigeria provides a replicable blueprint for other emerging data communities across the Global South. As data-driven decision-making becomes increasingly strategic, investing in scalable, transparent, and community-led knowledge ecosystems is essential. The rise of dbt Nigeria underscores the power of collective learning in shaping the future of analytics, not just locally but globally.
Keywords: Scaling Knowledge Exchange, Global Data Community, dbt Nigeria, Benchmark Model
Pages: 1550-1560
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