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Culture and Methodologies
Agile Career Development Methodologies Team Management
Data Engineering
AI/ML Big Data Data Databases IoT
Software Design and Architecture
Cloud Architecture Containers Integration Microservices Performance Security
Coding
Frameworks Java JavaScript Languages Tools
Testing, Deployment, and Maintenance
Deployment DevOps and CI/CD Maintenance Monitoring and Observability Testing, Tools, and Frameworks

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  4. Modern Data App Architectures and Best Practices for Building Data Apps

Modern Data App Architectures and Best Practices for Building Data Apps

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It’s safe to say data application builders will never worry about a lack of data. Approximately 40 zettabytes (ZB) of new data was generated in 2019, and IDC predicts that with a steady growth trajectory, 175 ZB will be generated in 2025. Although these ever-increasing amounts of data present immeasurable opportunities for delivering data-driven insights to customers, there are two crucial questions every startup and established ISV provider should ask:

Can your underlying architecture scale to meet the needs of your business?

How can we deliver and scale a performant product while remaining operationally efficient and cost-effective?

Presenters:

Presenter Avatar

Nagesh Cherukuri

Principal Architect, Data Apps, Field CTO Office, SNOWFLAKE

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