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

If you want to scare a Data Engineer with four words, ‘big data, high concurrency’ will probably do it. As data moved from the realm of BI reporting to being a customer-facing commodity, serving huge volumes of data to thousands of unforgiving app users is no small challenge. In this session, Connor Carreras will share (and demo!) how a major martech platform uses Firebolt to serve data about millions of websites to their worldwide customers with consistent millisecond response times. After this session, you will know how you can build low-latency data applications yourself. You’ll also have a deep understanding of what it takes for modern high-performance query engines to do well on these workloads.

In this session Connor will dive into optimizing compute resources, accelerating query performance, and simplifying data transformations with dbt and cover in detail: - SQL-based data transformation, and why is it gaining traction as the preferred language with data engineers - Life cycle management for native objects like fact tables, dimension tables, primary indexes, aggregating indexes, join indexes, and others. - Declarative, version-controlled data modeling - Auto-generated data lineage and documentation

Learn about incremental models, custom materializations, and column-level lineage. Discover practical examples and real-world use cases how Firebolt enables data engineers to efficiently manage complex tasks and optimize data operations while achieving high efficiency and low latency on their data warehouse workloads.

Speaker: Connor Carreras Solutions Architect Firebolt

Read the blog to learn about the latest dbt Cloud features announced at Coalesce, designed to help organizations embrace analytics best practices at scale https://www.getdbt.com/blog/coalesce-2024-product-announcements