
The evolution of software engineering has embraced microservices and modular design, enabling resilience and adaptability in complex systems. However, data engineering remains rooted in monolithic architectures and outdated practices. This talk draws from decades of experience in data and software engineering, advocating for the application of modern software principles to data systems. By embracing modularity, data contracts, and tools like dbt, data professionals can address challenges such as siloed systems, centralized ownership, and inflexible processes. This session will provide practical guidance for shifting toward an anti-monolith architecture and fostering innovation in data engineering.
Key focus areas:
Speaker: Elliott Cordo

Elliott is an expert in cloud-native data engineering, strategy, and architecture, with a passion for helping organizations drive value from data. He has more than two decades of experience implementing cutting-edge, data-driven cloud-native applications. He has a passion for helping organizations understand the true potential of their data by working as a leader, architect, and builder. Elliott has built dozens of cloud-native data platforms on AWS, ranging from data warehouses and data lakes, AI, and machine learning infrastructure to real-time activation platforms in companies ranging from small startups to large enterprises. He is the founder of Data Futures, a consultancy focused on cloud-native data modernization, and an AWS Data Hero. https://aws.amazon.com/developer/community/heroes/elliott-cordo/
Become a DATAVERSITY Insider when you subscribe and gain access to a host of special content.