Enabling Data Centric Solutions through Modern Schema Management

Data-Centric solutions are enabled by a strong foundation of data context built through data schemas. In traditional data schemas--including CSV, XLS, and JSON--data-driven solutions break-down and add complexity as solutions evolve and scale. Modern schema, including Avro, Protobuffers, and Thrift, enable data solutions to evolve and scale through a concept known as schema evolutions to support the complex demands of Data-Centric architectures. At NALEJ, we run a complex and dynamic data infrastructure powering development inside the DoD. In this talk we will explain how our adoption of modern schema was leveraged to build adaptable, scalable data solutions to meet the scale and complexity of modern cloud deployments, working in heterogeneous environments with multi-cloud communication.