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Dbt Coalesce 2024

2024-10-11 YouTube Visit website ↗

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Coalesce 2024: Unlocking low latency analytics with Firebolt and dbt integration

Coalesce 2024: Unlocking low latency analytics with Firebolt and dbt integration

2024-10-17 Watch
video
Connor Carreras (Firebolt)

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

Coalesce 2024: How Roche is redefining data, analytics & genAI at scale with dbt

Coalesce 2024: How Roche is redefining data, analytics & genAI at scale with dbt

2024-10-16 Watch
video
João Antunes (Hoffmann-La Roche)

Centralize, harmonize, and streamline. That’s how Roche delivers self-service analytics to the thousands of people in its pharma commercial sector. Dbt is powering the backend solution that combines over 60 transactional systems into a harmonized simplified data model. By adopting a version-controlled approach and enabling end-to-end lineage tracking, we achieved significant reduction in duplication and accelerated time-to-insight for data-driven decision-making. The transition from a heterogeneous technology stack to standardized ways of working has fostered greater flexibility in allocating resources across the organization to address diverse use cases. Additionally, the scalable nature of this platform allows us to easily replicate successful data solutions globally. We further augmented our capabilities by integrating generative AI into our Redshift data warehouse, empowering the creation of innovative data products using dbt. This presentation will share practical lessons learned, architectural insights, and the tangible business impact realized from this data platform modernization.

Speaker: João Antunes Lead Engineer Hoffmann-La Roche

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

Coalesce 2024: Food + data for better lives: Modernizing the Houston Food Bank's data stack with dbt

Coalesce 2024: Food + data for better lives: Modernizing the Houston Food Bank's data stack with dbt

2024-10-16 Watch
video
Erwin Kristel (Houston Food Bank) , Susan Quiros (Houston Food Bank) , Benjamin Herndon-Miller (Houston Food Bank)

The Houston Food Bank (HFB) is the largest food bank in the country, serving 18 southeast Texas counties and distributing over 120 million meals in the last fiscal year through our network of 1,600+ community partners to the 1 million-plus food-insecure persons in the region.

Over the last 2+ years, HFB has leveraged dbt to modernize our data stack. Initially working with dbt Core, our data team's engineers centralized, streamlined, and automated data pipelines to provide critical KPIs to HFB Leadership. Fast-forward to today, our data team of 10, which includes engineers, analysts, and other specialists, uses dbt Cloud to manage all data transformations in our data warehouse, which now supports 30+ integrations and 70+ reports that deliver 180+ metrics to stakeholders across the organization. This organizational transformation has saved countless hours for our staff, improved organizational trust in data significantly by identifying and managing sources of truth, and delivered key insights to stakeholders across our entire organization.

A handful of examples include: - Identifying corporate donor opportunities by mining donor and volunteer data - Increasing the number of opportunities for federal and grant-based funding by being able to generate metrics across an ever-increasing number of data sources - Assessing the efficiency of school-based programs by analyzing the proportion and volume of students served to the food-insecure population of that school

HFB is committed to being a data leader in the food banking space, and we’re hoping our journey using dbt can inspire other non-profits to leverage the platform as well.

Speakers: Erwin Kristel Data Analyst Houston Food Bank

Benjamin Herndon-Miller Data Engineer Houston Food Bank

Susan Quiros Data Analyst II Houston Food Bank

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

Coalesce 2024: Surfing the LLM wave: We can't opt out and neither can you

Coalesce 2024: Surfing the LLM wave: We can't opt out and neither can you

2024-10-16 Watch
video
Amanda Fioritto (Hex) , Erika Pullum (Hex Technologies)

This session is a practical guide to changing how you operate in response to the Cambrian explosion of AI and LLM technologies. In your future, everyone at the company will have access to an LLM with unfettered access to your data warehouse. Do you feel afraid? The Data team at Hex did too. They'll share how they had to change how they worked to adapt, and what data leaders and practitioners need to be thinking about for their own teams.

Speakers: Amanda Fioritto Senior Analytics Engineer Hex Technologies

Erika Pullum Analytics Engineer Hex Technologies

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

Coalesce 2024: How SurveyMonkey sharpens dbt performance and governance with data observability

Coalesce 2024: How SurveyMonkey sharpens dbt performance and governance with data observability

2024-10-16 Watch
video
Samiksha Gour (SurveyMonkey)

The data team at SurveyMonkey, the global leader in survey software, oversees heavy data transformation in dbt Cloud — both to power current business-critical projects, and also to migrate legacy workloads. Much of that transformation work is taking raw data — either from legacy databases or their cloud data warehouse (Snowflake) — and making it accessible and useful for downstream users. And to Samiksha Gour, Senior Data Engineering Manager at SurveyMonkey, each of these projects is not considered complete unless the proper checks, monitors, and alerts are in place.

Join Samiksha in this informative session as she walks through how her team uses dbt and their data observability platform Monte Carlo to ensure proper governance, gain efficiencies by eliminating duplicate testing and monitoring, and use data lineage to ensure upstream and downstream continuity for users and stakeholders.

Speaker: Samiksha Gour Senior Data Engineering Manager SurveyMonkey

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