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AWS is the best place to build modern applications

Today’s applications need to scale quickly, ensure availability, handle terabytes of data, and respond in milliseconds. We call these applications “modern” and they cover an expanding range of use-cases, including web and mobile apps, backend services, data processing, and machine learning. Modern applications are built with modular architectural patterns, serverless operational models, and agile developer processes. They allow you to innovate faster, reduce risk, accelerate time to market, and decrease your total cost of ownership (TCO).

In this session, we present how to build a Lake House architecture on AWS that enables you to get insights from exponentially growing data volumes and help you make decisions with speed and agility.

This Lake House approach provides capabilities that you need to embrace data gravity by using both a central data lake, a ring of purpose-built data services around that data lake, and the ability to easily move the data you need between these data stores.

Why they should Attend:

  • Move beyond the hype and learn from AWS AI/ML experts and customers who have successfully applied machine learning to achieve fast, efficient, measurable results
  • Get best practices and insights on how to build Serverless SaaS Solutions on AWS
  • Hear from industry leaders about the need for a modern data architecture
  • Get expert tips on how you can empower your system engineers and application developers to be proficient with monitoring and observability of your modern applications.

Featured Speakers

Praveen Jayakumar
AI/ML Specialist Solutions Architect
Dhammika Sriyananda
Senior Partner Solutions Architect SaaS Factory
Prafulla Wani
Analytics Specialist SA
Krishna Kumar Gopinathan
Senior Solutions Architect
Dipayan Sarkar
Senior Analytics Specialist Solutions Architect

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