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Activities & events
| Title & Speakers | Event |
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Berlin dbt Meetup - the last one in 2024!
2024-12-05 · 17:00
What are dbt meetups? dbt Meetups are networking events open to all folks working with data! Talks predominantly focus on community members' experience with dbt, however, you'll catch presentations on broader topics such as analytics engineering, data stacks, data ops, modeling, testing, and team structures. ➡️ Join the dbt Slack community: https://www.getdbt.com/community/ and make sure to add the #local-berlin channel in dbt Slack to be part of the conversation. 🤝 Organizers: Eva Schreyer (NEUGELB Studios), Victoria Perez Mola (dbt Labs) 🏢 Venue: NEUGELB Studios in Kreuzberg To attend, please read the Health and Safety Policy and Terms of Participation: https://www.getdbt.com/legal/health-and-safety-policy 📝Agenda
---------------------------------- dbt is the standard in data transformation, used by over 40,000 organizations worldwide. Through the application of software engineering best practices like modularity, version control, testing, and documentation, dbt’s analytics engineering workflow helps teams work more efficiently to produce data the entire organization can trust. Learn more: https://www.getdbt.com/ |
Berlin dbt Meetup - the last one in 2024!
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Halifax dbt Meetup Q4
2024-11-20 · 16:00
A dbt Meetup is a networking event open to all folks working with data! Talks predominantly focus on community members' experience with dbt, however, you'll catch presentations on broader topics such as analytics engineering, data stacks, data ops, modeling, testing, and team structures. Data practionners, amateur hackers & students are all welcome! 🤝Organizer: Esther Fraser & Saadat Qadri 🏠Venue Host: CoWork Halifax To attend, please read the Health and Safety Policy and Terms of Participation: https://www.getdbt.com/legal/health-and-safety-policy 📝Agenda
Data on Autopilot: An Overview of Devops with dbt Explore how DevOps, particularly CI/CD, pipelines with dbt can enhance your data workflows. By automating data transformations, testing, and deployments, organizations can achieve faster, more reliable insights while minimizing manual errors. This discussion will highlight the importance of integrating DevOps practices into analytics engineering. It will cover the fundamental concepts of DevOps and CI/CD with dbt, before delving into some more advanced workflow examples and finishing with the latest advanced CI features announced at Coalesce 2024. The goal is to empower attendees to streamline data processes and make their pipelines work for them, on autopilot. Open Workshop After the success exploring unit tests in last quarter's Open Workshop segment, we're making it a permanent feature! Got a thorny dbt problem that giving you some trouble? Or did you just solve one and want to brag? Bring your laptop and let your community lend a hand. ➡️ Join the dbt Slack community: https://www.getdbt.com/community/ 🤝For the best Meetup experience, make sure to join the #local-eastern-canada channel in dbt Slack (https://slack.getdbt.com/). ---------------------------------- dbt is the standard in data transformation, used by over 30,000 organizations worldwide. Through the application of software engineering best practices like modularity, version control, testing, and documentation, dbt’s analytics engineering workflow helps teams work more efficiently to produce data the entire organization can trust. Learn more: https://www.getdbt.com/ |
Halifax dbt Meetup Q4
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Coalesce 2024 keynote highlights
2024-11-13 · 23:06
A highlight reel of all the major dbt product announcements at Coalesce 2024. Read the blog to learn more about dbt product announcements: https://www.getdbt.com/blog/coalesce-2024-product-announcements |
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Coalesce 2024: Scaling dbt: Balancing self-serve analytics and central governance
2024-10-23 · 18:17
Adopting dbt marks a significant leap towards governed data transformations. But with every game-changer, big questions arise: Where do data transformations end? Should they touch the BI layer? What roles do data engineers, analytics engineers, and business analysts play in data modeling? And, is centralizing metrics truly beneficial? Spoiler: It's about finding the balance between freedom and governance. Our expert panelists will share best practices for scaling dbt to handle transformations and metrics without stifling analyst freedom or causing team burnout. You'll learn how to build a robust metrics layer in dbt and manage business logic as your data operation grows, all by establishing a solid foundation with dbt. Speakers: Mark Nelson, Silja Mardla, Patrick Vinton, Sarah Levy 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 |
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dbt Coalesce Watch Party & Conference Recap
2024-10-23 · 15:00
Didn't make it to Vegas for Coalesce this year? Made it to Vegas and want to keep the fire burning? Join the Eastern Canada dbt meetup for a watch party & discussion. Based on YOUR votes, we'll be watching Late-stage transformations: Utilizing dbt Semantic Layer Metrics and, if time permits, we'll check out Don't panic: What to do when your data breaks. Check out the full Coalesce 2024 agenda here. To attend, please read the Health and Safety Policy and Terms of Participation: https://www.getdbt.com/legal/health-and-safety-policy ➡️ Join the dbt Slack community: https://www.getdbt.com/community/ 🤝For the best Meetup experience, make sure to join the #local-eastern-canada channel in dbt Slack (https://slack.getdbt.com/). ---------------------------------- dbt is the standard in data transformation, used by over 40,000 organizations worldwide. Through the application of software engineering best practices like modularity, version control, testing, and documentation, dbt’s analytics engineering workflow helps teams work more efficiently to produce data the entire organization can trust. Learn more: https://www.getdbt.com/ |
dbt Coalesce Watch Party & Conference Recap
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Coalesce 2024 edition: What's next for data teams? (w/ Scott Breitenother)
2024-10-20 · 07:00
Tristan
– host
,
Scott Breitenother
– founder
@ Brooklyn Data Co.
Show description: Scott Breitenother, founder of data consultancy Brooklyn Data Co., joins Tristan at Coalesce 2024 in Las Vegas to discuss the early days of dbt, the evolution of data teams, and what's next for the dbt community. For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com. The Analytics Engineering Podcast is sponsored by dbt Labs. |
The Analytics Engineering Podcast |
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Coalesce 2024: How Docusign migrated legacy SQL or stored procedures to dbt models
2024-10-17 · 17:11
Bishal Gupta
– Lead Data Engineer
@ Docusign
As organizations evolve, many still rely on legacy SQL queries and stored procedures that can become bottlenecks in scaling data infrastructure. In this talk, we will explore how to modernize these workflows by migrating legacy SQL and stored procedures into dbt models, enabling more efficient, scalable, and version-controlled data transformations. We’ll discuss practical strategies for refactoring complex logic, ensuring data lineage, data quality and unit testing benefits, and improving collaboration among teams. This session is ideal for data and analytics engineers, analysts, and anyone looking to optimize their ETL workflows using dbt. Speaker: Bishal Gupta 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 |
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Coalesce 2024: Making data rewarding at Bilt (Rewards)
2024-10-17 · 17:10
Nick Heron
– Senior Manager, Data Analytics
@ Bilt Rewards
,
Ben Kramer
– Director, Data & Analytics
@ Bilt Rewards
,
James Dorado
– VP, Data Analytics
@ Bilt Rewards
Dive into the technical evolution of Bilt’s data infrastructure as they moved from fragmented, slow, and costly analytics to a streamlined, scalable, and holistic solution with dbt Cloud. In this session, the Bilt team will share how they implemented data modeling practices, established a robust CI/CD pipeline, and leveraged dbt’s Semantic Layer to enable a more efficient and trusted analytics environment. Attendees will gain a deep understanding of Bilt’s approach to data including: cost optimization, enhancing data accessibility and reliability, and most importantly, supporting scale and growth. Speakers: Ben Kramer Director, Data & Analytics Bilt Rewards James Dorado VP, Data Analytics Bilt Rewards Nick Heron Senior Manager, Data Analytics Bilt Rewards 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 |
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Coalesce 2024: Increasing ROI with dbt Cloud
2024-10-17 · 17:06
Are you making the most of your dbt Cloud deployment? This session is targeted to Admins and will provide guidance on how to leverage dbt Cloud features and workflows to maximize your team’s ability to efficiently deliver quality data products to the broader organization. Speaker: Neha Hystad 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 |
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Coalesce 2024: Accelerate your dbt development with AI and the dbt Power User extension
2024-10-17 · 17:02
Michiel De Smet
– Founding Engineer
@ Altimate AI
,
Anton Goncharuk
– Principal Analytics Engineer
@ HubSpot
Making use of AI in the dbt development lifecycle has the potential to be a massive productivity unlock for your team. In this talk, explore how AI-driven approaches can improve your development process with Michiel De Smet from Altimate AI and Anton Goncharuk from Hubspot. Discover practical strategies to automate your work, prevent issues earlier, and embed best practices. Along the way, you'll also get to hear some real-life examples from how the team at HubSpot streamlined their dbt Cloud development workflow and enhanced collaboration within the team. Speakers: Michiel De Smet Founding Engineer Altimate AI Anton Goncharuk Principal Analytics Engineer HubSpot 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 |
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Coalesce 2024: Breakfast club sponsored by Anomalo: Deep data quality for trusted GenAI
2024-10-17 · 16:59
Jonathan Karon
– Partner Innovation Lead
@ Anomalo
,
Amy Reams
– VP Business Development
@ Anomalo
Are you a dbt Cloud customer aiming to fast-track your company’s journey to GenAI and speed up data development? You can't deploy AI applications without trusting the data that feeds them. Rule-based data quality approaches are a dead end that leaves you in a never-ending maintenance cycle. Join us to learn how modern machine learning approaches to data quality overcome the limits of rules and checks, helping you escape the reactive doom loop and unlock high-quality data for your whole company. Speakers: Amy Reams VP Business Development Anomalo Jonathan Karon Partner Innovation Lead Anomalo 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 |
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Connor Carreras
– Solutions Architect
@ 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 |
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Coalesce 2024: Data mythbusters: Challenging common misconceptions using public data
2024-10-17 · 16:57
Izzy Miller
– Developer Advocate
@ Hex
They say lightning never strikes the same place twice... but what does the data say? Ever wonder if all those widely accepted "truths" about the world are actually true? In this myth-busting session, we'll leverage public datasets and Hex to challenge common beliefs about everything from human behavior to scientific "facts." We'll do a live walkthrough of he entire process: finding the right data, cleaning it up, analyzing it to separate fact from fiction, and making results easily available to explore and use. We'll tackle myths across crime, sports, society, and of course, lightning, using real data from crowdsourced and government sources. By the end, we'll have set the record straight on those "truths," and you'll have learned new ways to explore data and make it friendlier non-data folks to engage with. Speakers: Izzy Miller Hex 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 |
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Coalesce 2024: How Riot Games is building player-first gaming experiences with Databricks and dbt
2024-10-17 · 16:54
Riot Games, creator of hit titles like League of Legends and Valorant, is building an ultimate gaming experience by using data and AI to deliver the most optimal player journeys. In this session, you'll learn how Riot's data platform team paired with analytics engineering, machine learning, and insights teams to integrate Databricks Data Intelligence Platform and dbt Cloud to significantly mature its data capabilities. The outcome: a scalable, collaborative analytics environment that serves millions of players worldwide. You’ll hear how Riot Games: - Centralized petabytes of game telemetry on Databricks for fast processing and analytics - Modernized their data platform by integrating dbt Cloud, unlocking governance for modular, version-controlled data transformations and testing for a diverse set of user personas - Uses Generative AI to automate the enforcement of good documentation and quality code and plans to use Databricks AI to further speed up its ability to unlock the value of data - Deployed machine learning models for personalized recommendations and player behavior analysis You'll come away with practical insights on architecting a modern data stack that can handle massive scale while empowering teams across the organization. Whether you're in gaming or any data-intensive industry, you'll learn valuable lessons from Riot's journey to build a world-class data platform. 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 |
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Coalesce 2024: Generative AI driven near-real-time operational analytics with zero-ETL and dbt Cloud
2024-10-17 · 16:52
Neeraja Rentachintala
– Director, Product Management
@ Amazon
,
Neela Kulkarni
– Solutions Architect
@ AWS
AWS offers the most scalable, highest performing data services to keep up with the growing volume and velocity of data to help organizations to be data-driven in real-time. AWS helps customers unify diverse data sources by investing in a zero ETL future and enable end-to-end data governance so your teams are free to move faster with data. Data teams running dbt Cloud are able to deploy analytics code, following software engineering best practices such as modularity, continuous integration and continuous deployment (CI/CD), and embedded documentation. In this session, we will dive deeper into how to get near real-time insight on petabytes of transaction data using Amazon Aurora zero-ETL integration with Amazon Redshift and dbt Cloud for your Generative AI workloads. Speakers: Neela Kulkarni Solutions Architect AWS Neeraja Rentachintala Director, Product Management Amazon 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 |
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Coalesce 2024: A look inside data teams managing 1,000+ dbt models
2024-10-17 · 16:47
Rya Sciban
– Head of Product
@ Select Star
In this talk, we explore the challenges and strategies of data teams that have scaled their dbt over 1,000 models and often across multiple projects. We'll dive into the types of organizations that reach this scale and the common challenges they face. From data democratization efforts to infrastructure and tooling requirements, we'll cover what it takes to effectively manage such a vast and complex dbt environment. What does their team structure look like? What type of processes do they have? What type of automation did they implement to enable efficient data operations at scale? Whether you're just starting with dbt or looking to manage a growing number of models, this talk is to offer practical insights to help you navigate the complexities of large-scale dbt deployments. Speaker: Rya Sciban Head of Product Select Star 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 |
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Coalesce 2024: Supercharge your data pipelines with AI & ML using dbt Labs and Snowflake
2024-10-17 · 16:41
Randy Pettus
– Senior Partner Sales Engineer
@ Snowflake
Ready to level up your data pipelines with AI and ML? In this session, we'll dive into key Snowflake AI and ML features and teach you how to easily integrate them into dbt pipelines. You'll explore real-world machine learning and generative AI use cases, and see how dbt and Snowflake together deliver powerful, secure results within Snowflake’s governance and security framework. Plus, discover how data scientists, engineers, and analysts can collaborate seamlessly using these tools. Whether you're scaling ML models or embedding AI into your existing workflows, this session will give you practical strategies for building secure, AI-powered data pipelines with dbt and Snowflake. Speaker: Randy Pettus Senior Partner Sales Engineer Snowflake 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 |
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Coalesce 2024: Fueling product development and customer insights with dbt
2024-10-17 · 16:41
Natalie Kwong
– Product
@ Airbyte
At Airbyte, we leverage dbt to power our roadmap - from user discovery to customer retention efforts. We need to parse across many sources of data across our open-source and Cloud communities, including Gong transcripts, NPS surveys, and Github issues. I'll share examples of how dbt powers how we work - from discovering product gaps and their importance to deals, to building retention tools like custom notifications around customer pipelines. Speaker: Natalie Kwong Product Airbyte 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 |
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Coalesce 2024: Faster, Cheaper, Easier: Choose 3 - Automatically optimize dbt at scale
2024-10-17 · 16:36
Ben Lerner
– Co-founder and CEO
@ Espresso AI
Espresso AI uses two main techniques to run dbt workloads substantially faster and cheaper on data warehouses: better job scheduling and automatically incrementalizing queries. This talk will dive into the technical details behind both approaches. Speaker: Ben Lerner Co-founder and CEO Espresso AI 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 |
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Coalesce 2024: Has the modern data stack failed the business?
2024-10-17 · 16:33
Paul Blankley
– CTO / Co-founder
@ Zenlytic
The modern data stack has improved the lives of data teams everywhere. But has it helped the rest of the business? In this talk, we’ll discuss the business teams’ perspective. Are they actually getting value from the modern data stack? How does help it them do their jobs better? And why do data teams keep questioning if we’re “adding value” with our powerful new tools? Attendees will gain perspective on their data ‘customers’ and learn ideas on how to deliver tangible business value. Speaker: Paul Blankley CTO Zenlytic 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 |
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