Adapting to change with data patterns on AWS: The “curate” cloud data pattern

The article discusses the "Curate" cloud data pattern, which focuses on standardizing data sets across an organization for analytics and AI applications.

• Companies centralize data ownership and create high-quality, standardized data products
• Application developers discover datasets through internal catalogs or marketplaces
• Enables easier data governance and compliance by narrowing data exposure
• Requires investment in product management, data science, and data engineering

Example companies like Cox Automotive, PGA TOUR, Siemens, and Experian have successfully implemented this pattern, achieving benefits such as:

• Improved data quality and metadata management
• Faster application development
• Significant time and cost savings
• Enhanced data-driven decision making

The Curate pattern is particularly useful for AI research, knowledge base development, and highly regulated industries.