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DESCRIPTION:Click for Latest Location Information: http://dgiq-edw2025.data
 versity.net/sessionPop.cfm?confid=164&proposalid=15970\nThe evolution of so
 ftware engineering has embraced microservices and modular design, enabling 
 resilience and adaptability in complex systems. However, data engineering r
 emains rooted in monolithic architectures and outdated practices. This talk
  draws from decades of experience in data and software engineering, advocat
 ing for the application of modern software principles to data systems. By e
 mbracing 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 shif
 ting toward an anti-monolith architecture and fostering innovation in data 
 engineering.\nKey Areas of Focus:\n\n
 Data Mesh: An understanding of this socio-technical approach to decentraliz
 ing data architecture and enabling interoperability.\n
 Modularity in Data Engineering: Breaking down monolithic data systems into 
 independent components integrated via data contracts.\n
 Evolutionary Architecture: Leveraging microservice patterns for low-risk up
 grades and adaptability in data systems.\n
 Adopting Software Principles: Implementing CI/CD, automated testing, and ob
 servability in data engineering.\n
 Tools and Technologies: Utilizing dbt, automated quality checks, and cross-
 project references to modernize workflows.\n
 Practical Next Steps: Incremental actions for embracing anti-monolith desig
 n and modernizing data practices.\n\n
DTSTART:20250507T120000
SUMMARY:Building "Anti-Monolith"
DTEND:20250507T124459
LOCATION: See Description
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