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As federal agencies advance on their missions to transform vast amounts of data into strategic assets, they are rethinking the best approach to data management. While enterprise-shared data lakes were once considered an optimal way to manage and govern enterprise data, maturing strategies call for more flexible, scalable solutions. 

Instead of the centralized approach of data lakes, a data mesh ensures that the teams responsible for creating and capturing data also bear the responsibility of making it accessible and usable. Rather than a singular product, a data mesh comprises proven best practices, tools, resources and operating procedures, all woven together into a cohesive structure to support innovative, secure and resilient data management.

To bring these benefits to federal organizations, Leidos and Amazon Web Services (AWS) are uniting their expertise as mission-focused industry leaders in government IT and cloud services. Agencies can accelerate and scale the adoption of data mesh architecture through Data ConnectiV, a solution purpose-built to take data from creation and capture to insight delivery amid dynamic operational challenges.

During this webcast, subject matter experts from Leidos and AWS will discuss the challenges prompting agencies to shift away from data lakes, the benefits they can see from replacing data lakes with a data mesh structure, and how Data ConnectiV, as a collaboration between two industry leaders, is streamlining data mesh creation and adoption.