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Monday Morning Data Chat
#178 - Rob Harmon - Rob Harmon - Small Data, Efficiency, and Data Modeling
Aug 19, 2024
01:03:41
Snipd AI
Rob Harmon, an expert in small data and data modeling, shares his insights from over 20 years in data management. The conversation dives into the evolution of data architecture and the integration of traditional strategies with modern cloud solutions. Harmon highlights the importance of effective data modeling for enhancing efficiency and service quality. He also unpacks the concept of 'small data' and its innovative implications, discussing cost-effective strategies for data practices that optimize performance in new environments.
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Quick takeaways
- The evolution of data architecture has transitioned from transactional databases to modern data warehouses, emphasizing the need for integrated and reliable data systems.
- In the current landscape, data governance, quality, and structured modeling are critical amid pressures for speed, highlighting that quality should not be compromised for rapid delivery.
Deep dives
The Evolution of Data Architecture
The discussion outlines the historical progress of data architecture, beginning with transactional databases and evolving towards complex data warehouses. Initially, organizations used transactional systems for reporting because they lacked better alternatives, but as integration needs arose, reports moved to dedicated reporting databases. This shift paved the way for operational data stores, culminating in the modern data warehouse. Each evolution reflects the changing landscape of business requirements for data integration, non-volatility, and analytics.
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