Federal agencies handle complex datasets across multiple analytic systems, facing challenges in consistency, compatibility and efficiency. Ibis, an open-source Python DataFrame library, provides a uniform API that integrates with diverse backends - SQL databases, analytics engines and in-memory tools. By enabling reusable analytics code across systems, Ibis streamlines and minimizes system-specific customizations.

During this webinar, Philip Cloud, Principal Engineer at Voltron Data, spoke on how Ibis helps government data teams accelerate data pipelines, achieve cross-system interoperability and enhance operational efficiency with open-source technology.

In this session, attendees learned: 

• Addressing common federal analytics hurdles, including legacy system integration, scalability limitations and compliance requirements
• The benefits of developing analytics code once and deploying it everywhere to boost efficiency and reduce technical debt
• How Ibis simplifies federal data analysis by offering a unified API compatible with multiple analytic backends