How to assemble your Open Data Infrastructure
Blog post from Fivetran
Open Data Infrastructure (ODI) offers a strategic framework for building a flexible, governed data architecture that can adapt to diverse workloads, particularly in the evolving artificial intelligence (AI) landscape. Unlike traditional data lakes and proprietary warehouses, ODI separates storage, file formats, table formats, compute, and trust into distinct layers, enhancing flexibility while maintaining data integrity. This separation allows organizations to store data in open formats and apply metadata for governance, enabling multiple compute engines to interact with the same data without vendor lock-in. The integration of tools like Fivetran and dbt facilitates reliable data movement and governance, ensuring that data remains consistent, accessible, and ready for AI applications. By focusing on open standards and modular infrastructure, ODI helps organizations avoid the risks of inflexible architectures, positioning them to better adapt to future AI demands without compromising data trustworthiness.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| AI Agents | 1 | 4,874 | 1,103 | 240 | -1% |
| Observability | 1 | 3,430 | 674 | 183 | +0% |
| Real-time | 1 | 5,457 | 1,338 | 238 | -5% |
| Vector Search | 1 | 2,091 | 556 | 118 | -8% |