Overview
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Explore enterprise data-driven journeys and analytics capabilities architectural patterns in this 43-minute Devoxx conference talk. Navigate through stages of analytical capabilities, from initial to functional and data-driven, fostering continuous innovation. Examine patterns for data extraction, data lakes, lake house architectures, and distributed data meshes with practical examples. Learn how to architect for reversible decisions and scale multiple platforms as the data landscape grows, supporting businesses in their scalable data-driven journey towards innovation. Discover strategies for overcoming challenges such as fear of "missing out" or "lock-in" while making architectural decisions. Gain insights into organizational landscapes, data silos, query responsibility segregation, serverless services, data marketplaces, and data models. Equip yourself with the knowledge to guide organizations through their data-driven transformation and create differentiating value.
Syllabus
Introduction
The Journey
Organizational Landscape
Meet the team
Data silos
Query responsibility segregation
Data stores
Not easing ingestion burden
The functional right
The data scientist
The solution
Serverless services
Watch out for
A differentiating value
No scaling problem
Data Marketplaces
Data Models
Challenges
End of story
Resources
Taught by
Devoxx