Learn everything from what dbt is to how companies are using it to level-up their data transformation workflow.



Despite technological and process advancements, analytics in practice still suffers from the same problems it did a decade ago: low velocity, inaccurate results, impaired trust…all with increased costs. Progress has been made, but there is more we can do.

In a recent letter Tristan Handy, Founder & CEO at dbt Labs, put forward the Analytics Development Lifecycle (ADLC). ADLC is relevant to an entire analytical system, from ingesting data to transforming it to analyzing it to building data products on top of it. He signed off the note with this thought: “What is required now is to collectively roll up our sleeves and push the conversation forward in every single arena.”

We pick up the discussion here in a virtual panel moderated by dbt Labs with Tristan, and special guest data leaders from Cox Automotive and Salesforce.

Data leaders panel: Building a mature analytics workflow

In part two of our One dbt virtual event series, we answer the question, “Does dbt Cloud work with that?”. Watch this on-demand virtual event to learn about new and upcoming features that enable you to manage dbt projects across multiple data platforms. We’ll also show you how we’re making it easier for those hybrid users to keep dbt Core and dbt Cloud in sync. So, save your seat now and we’ll show you how to achieve flexibility and end-to-end visibility with dbt!

What else you’ll hear about:
- Iceberg right ahead: Learn how dbt Cloud and the Iceberg table format make cross-platform dbt Mesh a reality. Stay for a demo showing governance, contracts, and lineage in effect across Amazon Athena and Redshift.
- Core or Cloud? Yes!: No matter your entry point to dbt, we will show you how to use both together to create a mature analytics workflow that delivers business value.

One dbt: Accelerate data work with hybrid deployments and cross-platform dbt Mesh

Watch our on-demand virtual event to learn how dbt delivers a common unified framework for solving complex analytics challenges, and see how a data control plane can improve data quality, collaboration, and trust.

We’ll dive into how:
- The new features announced at Coalesce 2024 impact you and your team.
- The Analytics Development Lifecycle (ADLC) streamlines workflows.
- A data control plane improves flexibility, collaboration, and trust.
- AI integrates into the dbt workflow to boost team productivity and data quality.

One dbt: The control plane for data collaboration at scale

Data teams have always been asked to do more with less. “Can you make this easier? Can this run faster?” That focus on efficiency hasn’t changed. But what has changed is the macroeconomic pressure to tighten budgets, consolidate tools, and find cost optimizations wherever possible in the data development process.

As teams look back on the lessons of 2023, and look ahead at the budgets of 2024, this webinar provides a candid discussion—and tangible tips—for how to make the most of your resources.

What you’ll learn: In this webinar panel, data practitioners who optimized resources in their data workflow share exactly:
- What they did
- The impacts the initiative had
- What they learned
- The advice they have for other teams
- Plus, the panelists share their perspectives on some of the most talked-about ideas to drive efficiency with spend: AI, self-service, modernization, and SaaS consolidation.

Optimizing Costs in Your Data Workflow

Watch dbt Labs exclusive virtual launch event, where executive and product leaders reveal the latest dbt Cloud innovations designed to help you deliver Data That Works. You’ll witness detailed demos, learn about our newest releases, and get a peek into what’s coming to dbt Cloud over the next few months.

dbt Cloud Launch Showcase

Enhance your work process with dbt Explorer – a fresh knowledge base and visualization tool in dbt Cloud. Join us for this live session where you’ll dive into the endless possibilities that dbt Explorer brings to the world of data discovery.

Leveraging the metadata created from each dbt Cloud run, dbt Explorer empowers both data developers and data consumers to navigate the intricate web of data resources.

This on-demand session is episode 4 of our 4-part series on how to get value from everything new in dbt Cloud. You’ll walk away empowered to help your team better understand, navigate, and improve your global dbt projects.

What you can expect:
- Expert-led Demos: Our product specialists will showcase dbt Explorer’s newest capabilities—including column-level lineage—and how your team can better visualize, understand, and manage their dbt projects at scale.
- Business Boosters: Learn how data developers and data consumers alike can use dbt Explorer to understand resources and their interdependencies, quickly troubleshoot and resolve issues, and proactively improve pipeline performance and costs.

How to Get Value from dbt Explorer

Ready to see dbt Mesh in action? Watch a deep dive into how to navigate and manage data complexity at scale effectively. Finding business insights in your data gets more difficult as data projects grow in complexity. That’s where dbt Mesh, now available in dbt Cloud, comes in.

This is the second episode of our 4-part series on how to get value from everything new in dbt Cloud. We'll show you how you can empower distributed data teams to work together more effectively by breaking apart the project monolith. Tune into this on-demand session!

What you can expect
- Expert-led Demos: See product specialists showcase the innovations in dbt Mesh and various access points including the all-new dbt Explorer and Cloud CLI.
- Business Boosters: Understand how features like cross-project refs, model governance, and interactive lineage are essential for scaling your data projects and accelerating insights.

How to Get Value from dbt Mesh

Watch this on-demand webinar with experts from the analytics engineering space, Jason, Lauren, and Ian, as they discuss industry benchmarks, macro trends, and strategies for building effective data organizations. We'll discuss the results from our State of Analytics Engineering annual survey which reveals the experiences of data practitioners and leaders.

Explore the evolving landscape of data analytics
 Learn how both large and small data teams are adjusting to changes in analytics tools.
- Understand the impact of macro-environmental shifts on data teams and their leaders.
- Discover essential information about Generative AI and its relationship with data teams.
- Q&A: Share your thoughts, reactions, and questions. We're all ears!

2024 State of Analytics Engineering

Elevate your data decisions in 2024 with the dbt Semantic Layer. Dive into this on-demand webinar where you’ll explore the powerful capabilities that will transform the way you and your teams shape and analyze data. With the dbt Semantic Layer, data teams have a scalable approach to defining metrics centrally and downstream data consumers have the confidence that they’re making decisions from trustworthy data. Say goodbye to data discrepancies, and hello to streamlined processes.
You’ll walk away empowered to get your organization to move faster with a foundation of reliable, unified data.

What you can expect:
- Expert-led Demos: Learn how to define metrics in dbt Cloud and enable downstream users to seamlessly query those definitions across a variety of analytics tools.
- Business Boosters: Understand how the dbt Semantic Layer reduces complexity, aligns business and data teams on consistent definitions, and optimizes governance and productivity.

How to get value from the dbt Semantic Layer

Curious about how dbt Cloud can simplify your data workflows? This demo offers a hands-on look at how dbt Cloud helps you build trusted data pipelines, accelerate analytics workflows, and maintain data quality at scale. Learn how to easily develop models in the IDE, seamlessly analyze data, and efficiently schedule jobs within dbt Cloud to deliver reliable data, faster. Our product experts will showcase key dbt Cloud features in Snowflake. 

You’ll learn how dbt Cloud enables:
o Data modeling with the slick new IDE
o Job automation within a simple UI
o Lineage graphs directly integrated in your development environment

dbt Cloud Demo

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analytics engineering

data warehouse

Data Management

Data Integration

Data Analysis

Data Processing

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Data and Analytics

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