talk-data.com

Important: register on the event website is REQUIRED for admission (RSVP on meetup is turn off)

Description: Join Firebolt and AWS to learn how to build an end-to-end data analytics solution powered by AI and MCP.

Through this interactive, instructors-led workshop, we'll be working together to build a dashboard for understanding sales trends in near-real time and make decisions. We will also integrate with MCP server to obtain answers to complex questions that are grounded in the data. At the end, you’ll have a complete understanding of how to begin implementing this type of architecture in your own organization, and be able to clearly articulate the business value of modernizing your data analytical infrastructure.

You will learn: - Firebolt (Application and MCP server)\, AWS Bedrock and Quicksight - Scalable and cost-effective data ingestion - Optimize queries for production workloads - Scale infrastructure for increasing concurrency - Best practices for interactive data analytics applications

Speakers: - Connor Carreras\, Solution Engineer\, Firebolt. - Antony Prasad Thevaraj\, Partner Solution Architect\, AWS

Requirements: - Bring laptop - Tech stacks: MCP server\, AWS Bedrock and Quicksight

Important: register on the event website is REQUIRED for admission (RSVP on meetup is turn off)

Description: Join Firebolt and AWS to learn how to build an end-to-end data analytics solution powered by AI and MCP.

Through this interactive, instructors-led workshop, we'll be working together to build a dashboard for understanding sales trends in near-real time and make decisions. We will also integrate with MCP server to obtain answers to complex questions that are grounded in the data. At the end, you’ll have a complete understanding of how to begin implementing this type of architecture in your own organization, and be able to clearly articulate the business value of modernizing your data analytical infrastructure.

You will learn: - Firebolt (Application and MCP server)\, AWS Bedrock and Quicksight - Scalable and cost-effective data ingestion - Optimize queries for production workloads - Scale infrastructure for increasing concurrency - Best practices for interactive data analytics applications

Speakers: - Connor Carreras\, Solution Engineer\, Firebolt. - Antony Prasad Thevaraj\, Partner Solution Architect\, AWS

Requirements: - Bring laptop - Tech stacks: MCP server\, AWS Bedrock and Quicksight