There are undoubtedly similarities between the disciplines of analytics engineering and DevOps: in fact, dbt was founded with the goal of helping data professionals embrace DevOps principles as part of the data workflow. As the embedded DevOps engineer for a mature analytics engineering function, Katie Claiborne, Founding Analytics Engineer at Duet, observed parallels between analytics-as-code and infrastructure-as-code, particularly tools like Terraform. In this talk, she'll examine how analytics engineering is a means of empowerment for data practitioners and discuss infrastructure engineering as a means of scaling dbt Cloud deployments. Learn about similarities between analytics and infrastructure configuration tools, how to apply the concepts you've learned about analytics engineering towards new disciplines like DevOps, and how to extend engineering principles beyond data transformation and into the world of infrastructure.

Speaker: Katie Claiborne Founding Analytics Engineer Duet

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

Carta prioritizes ensuring that their data is accessible only to the right individuals. Previously, they used functional groups to manage data access, but this approach often fell short in perfectly governing granular data sets. Recently, Carta developed a new access management system utilizing dbt lineage and dbt grants. These tools enable them to automatically propagate data access tags defined in dbt sources. This innovative system allows them to confidently ensure that individuals have appropriate access to data.

Speaker: Marco Albuquerque Senior Engineering Manager - Data Engineering Carta

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

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

Learn how Virgin Media O2 uses dbt Cloud to enhance call center efficiency, personalize customer communications, and accelerate data science workflows. In this session, we will share details about our innovative continuous flow system, developed using best practices from Toyota Kanban, and how it helps reduce operational waste and costs. We will also highlight a number of capabilities within dbt Cloud that support continuous data flows by automating manual tasks.

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

Speakers: Arun Kumaravel Senior Analytics Engineer Virgin Media O2

Oliver Burt Lead Analytics Engineer Virgin Media o2

Gordon Curzon Head of Analytics Engineering Virgin Media O2

In today's data-driven world, harnessing the power of data is no longer an option but a necessity for businesses to thrive. For product engineering teams in particular, timely access to accurate and contextual data is crucial for making informed decisions and monitoring success. In this conversation, Aakriti Kaul and Scott Henry, Data Scientists at Cisco, dive into Duo Security’s data modernization journey, bolstered by dbt Cloud and embedded context in data, aimed at empowering product teams with data access and insights to drive innovation.

At the end of this session we hope to leave attendees with the following takeaways: • Understand how an Embedded Data science model creates value across Product, Engineering and Data teams • Learn practical strategies for implementing dbt within product development workflows to accelerate decision making and drive innovation, in partnership with Analytics Engineering teams • Gain insights from real-world case studies of Duo’s Product Data teams that have successfully leveraged dbt to provide access to data and insights for product teams • Gain insights from our organizational experience using dbt to provide product teams with self-service access to contextual datasets

The presentation is designed for data scientists, analytics engineers and other professionals involved in product development who are interested in leveraging data to drive decision making and embedding context within their data workflows. Whether you're new to dbt or looking to optimize your existing data analytics workflows, this session will provide valuable insights and practical strategies for harnessing the power of dbt in partnership with product engineering teams.

Speakers: Aakriti Kaul Data Scientist Duo Security @ Cisco

Scott Henry Data Scientist Duo Security @ Cisco

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

At dbt Labs, open source innovation is at the core of all that we do. The movement that is dbt would only happen thanks to you, our strong and vibrant dbt community. Join dbt Labs’ community leaders Grace Goheen, Jeremy Cohen, and Amada Echeverria as we celebrate the community with our annual recognition awards, share the latest innovations in open source, and share tales for the community with an interactive panel.

What does it mean to be successful with AI? Is it validating that it could prove long term value? Finding a way to innovate faster than before? And what role does dbt play in unlocking AI’s potential? dbt Labs COO Brandon Sweeney is joined by Fifth Third Bank and Optum UHG to talk about AI and the role dbt plays in accelerating business growth.

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

dbt Labs co-founder and CEO, Tristan Handy, unveils his vision for the analytics development lifecycle, highlighting how our mission to make data and AI more accessible and trustworthy is fueling innovation. Hear from data leaders who have unlocked incredible business value with dbt Cloud at scale, and get an exclusive look at the groundbreaking product features that are launching soon. And remember, what happens in Vegas could change the future of analytics and AI.

Read the blog to learn more about the product announcements: https://www.getdbt.com/blog/coalesce-2024-product-announcements

Speakers: Tristan Handy Founder & CEO dbt Labs

Amy Chen Product Manager dbt Labs

Greg McKeon Staff Product Manager dbt Labs

Roxi Dahlke Product Manager dbt Labs

James Dorado VP, Data Analytics Bilt Rewards

Tobias Humpert Siemens Data Cloud Product Owner Siemens AG

Yannick Misteli Head of Engineering Roche

A recap of Coalesce 2024—from dbt Labs—in Las Vegas. Coalesce is the premier analytics engineering conference for data practitioners looking to hone their craft, connect with peers, and get energized about the future of data.