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Integrating Large Scale Microservices Architectures with your Data Platform with Sunu Sasidharan
In this episode, we speak with Sunu Sasidharan. Sunu is the technology lead at Cuologic where he helps global brands implement large scale architectures, devops automation and data engineering across multiple technology stacks.
Top 3 Value Bombs:
- When creating distributed databases, you can only achieve two of the following three: consistency, availability, partition tolerance (CAP Theorem)
- Design data pipelines that support schema evolution. Teams should be able to add new functionality without causing downstream impacts.
- The entire deployment and creating of data objects/pipelines should be managed by code and version controlled.
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By Travis Lawrence
4.7
1313 ratings
In this episode, we speak with Sunu Sasidharan. Sunu is the technology lead at Cuologic where he helps global brands implement large scale architectures, devops automation and data engineering across multiple technology stacks.
Top 3 Value Bombs:
- When creating distributed databases, you can only achieve two of the following three: consistency, availability, partition tolerance (CAP Theorem)
- Design data pipelines that support schema evolution. Teams should be able to add new functionality without causing downstream impacts.
- The entire deployment and creating of data objects/pipelines should be managed by code and version controlled.