In the world of data and analytics, self-service analytics tools like Power BI and Tableau are often the go-to solutions. However, as the data and analytics landscape evolve with the proliferation of low-code and no-code tools and the integration of AI, the demand for self-serve data engineering capabilities in the industry is on the rise.

OMERS as a Canadian pension plan distinguishes itself as an industry pioneer, not only embracing but also delivering self-serve Data Engineering capabilities to empower the organization by using Microsoft Data and AI technologies, including Microsoft Fabric. The session will explore strategies for empowering organizations with self-service Data Engineering capabilities, discussing both their benefits and limitations, along with effective methods to overcome challenges. Additionally, we'll delve into the circumstances where enabling self-service data engineering capabilities is most advantageous, leveraging tools such as Microsoft Fabric