The dbt Cloud IDE has gotten a major upgrade. With a fresh new coat of paint, a re-written codebase, and a suite of oft-requested features, the new IDE should amount to a significant quality of life improvement for your team – allowing you to deliver even more value to the business. Experience it in action, and see how to safely distribute data development work in this hands-on session with the dbt Labs product team.

Check the slides here: https://docs.google.com/presentation/d/11-71MIh9ASGM2n-i0KxXc_yf6w1tq0l1bUobWdnfloY/edit?usp=sharing

Coalesce 2023 is coming! Register for free at https://coalesce.getdbt.com/.

Fivetran and dbt Cloud continue to gain traction and popularity among some of the most innovative companies, and for good reason. When combined, Fivetran and dbt Cloud provide an automated, performant, end-to-end ELT pipeline. Join our session where Nikolay Voronchikhin will walk us through Cisco’s journey to building a successful data stack with Fivetran and dbt Cloud. Discover best practices to maximize this powerful combination in your business.

Check the slides here: https://docs.google.com/presentation/d/1-rPuzq0om7ePXXcXFd4lBi72L5svZHNjkx0RWLGgUo8/edit?usp=sharing

Coalesce 2023 is coming! Register for free at https://coalesce.getdbt.com/.

As data science and machine learning adoption grew over the last few years, Python moved up the ranks catching up to SQL in popularity in the world of data processing. SQL and Python are both powerful on their own, but their value in modern analytics is highest when they work together. This was a key motivator for us at Snowflake to build Snowpark for Python: to help modern analytics, data engineering, and data science teams generate insights without complex infrastructure management for separate languages.

Join this session to learn more about how dbt's new support for Python-based models and Snowpark for Python can help polyglot data teams get more value from their data through secure, efficient and performant metrics stores, feature stores, or data factories in the Data Cloud.

Check the slides here: https://docs.google.com/presentation/d/1xJEyfg81azw2hVilhGZ5BptnAQo8q1L7aDLGrnSYoUM/edit?usp=sharing

Coalesce 2023 is coming! Register for free at https://coalesce.getdbt.com/.

Airbyte supports loading data into a wide array of databases and data warehouses. We must enforce the same structure and transformations in each of these tools, and writing different transformations for each would be prohibitive. Instead, we use dbt to write this code once and reuse it for every database and data warehouse that we support. In an effort to improve our support across all these tools, we are also introducing a dbt Cloud integration within Airbyte Cloud. This will allow Airbyte Cloud users to leverage the lessons we’ve learned and build their own custom transformations using dbt Cloud.

Check the slides here: https://docs.google.com/presentation/d/19asIBrCgs04dJ07zhb1cosYEQHQC0yqEVSMlLcUymZY/edit?usp=sharing

Coalesce 2023 is coming! Register for free at https://coalesce.getdbt.com/.

When Prateek Chawla, founding engineer, joined Monte Carlo in 2019, he was responsible for spinning up our data platform from scratch. He was more of a backend/cloud engineer, but like with any startup had to wear many hats, so got the opportunity to play the role of data engineer too. In this talk, we’ll walk through how we spun up Monte Calro’s data stack with Snowflake, Looker, and dbt, touching on how and why we implemented dbt (and later, dbt Cloud), key use cases, and handy tricks for integrating dbt with other popular tools, like Airflow, and Spark. We’ll discuss what worked, what didn’t work, and other lessons learned along the way, as well as share how our data stack evolved over time to scale to meet the demands of our growing startup. We’ll also touch on a very critical component of the dbt value proposition, data quality testing, and discuss some of our favorite tests and what we’ve done to automate and integrate them with other elements of our stack.

Coalesce 2023 is coming! Register for free at https://coalesce.getdbt.com/.

The Databricks Lakehouse Platform unifies the best of data warehouses and data lakes in one simple platform to handle all your data, analytics and AI use cases. Databricks now includes complete support for dbt Core and dbt Cloud and you will hear from Conde Nast using dbt and Databricks together to democratize insights. We will also share best practices for developing and productionizing dbt projects containing SQL and Python, governing data with standard SQL, and exciting features on our roadmap such as materialized views for Databricks SQL.

Coalesce 2023 is coming! Register for free at https://coalesce.getdbt.com/.

The days of unrestrained cloud spending are coming to an end. In the coming months, data teams will increasingly be asked to better understand, monitor and reduce their data warehouse spend. The problem? Practitioners aren't equipped with the tools to do this well. In this talk, Ian Whitestone (Shopify) and Jonathan Talmi (Snapcommerce) will share their own end-to-end process for cutting warehouse spend, diving into the actual strategies they've deployed to give practitioners immediately actionable processes and techniques to keep costs controlled.

Check the slides here: https://docs.google.com/presentation/d/1SDONuIrAHbdDF0YyZ5krmAnibUTJbL9qosEeoDjFRPM/edit#slide=id.p

Coalesce 2023 is coming! Register for free at https://coalesce.getdbt.com/.

For too long, there's been contention between business and data teams. Incoming requests to a data team span from adding one specific column for one specific use case, to updating logic for a point in time question—the priorities stack up, and data teams find themselves sifting through a myriad of lower-level requests, unable to work on higher, more transformational deliverables. At Sigma, we're flipping the script by enabling analysts and stakeholders alike to iterate and explore in a familiar spreadsheet UI, with the scale and performance unlocked by modern cloud data warehouses. In this talk, we'll cover how we deploy Sigma internally (powered by dbt and dbt cloud metadata) to truly give the power to generate insights from data back to the business, and create a more effective feedback loop when working with our own data team.

Check the slides here: https://docs.google.com/presentation/d/11jGG6OSwwjtT6gRVpse9VSPjW_mIpYPUfRBx5TSttjk/edit?usp=sharing

Coalesce 2023 is coming! Register for free at https://coalesce.getdbt.com/.

Does a two-step deployment workflow for developing, testing, and deploying code to dbt Cloud sound possible? Sunrun thinks so. Join James Sorensen and Jared Stout to learn how they used Github Actions and API integrations with dbt Cloud and Jira to entirely automate the CI/CD workflow, saving the team time and worry when moving through SOX certification.

Check the slides here: https://docs.google.com/presentation/d/1ZecU0-TN8SxNFpdKdkVksuDjpUy6XiaulqBdfqhLb68/edit#slide=id.g15507761f0b_0_10

Coalesce 2023 is coming! Register for free at https://coalesce.getdbt.com/.

Are you sold on dbt, but unsure as to how you’ll handle deployment, orchestration and job scheduling? Are you evaluating dbt and looking for an easy way to spin up a proof of concept while seeking buy in from stakeholders? Look no further! In this workshop we will show you how to containerize your dbt project and execute jobs using GCP’s serverless computing products Cloud Run, Build and Scheduler. If you have an interest in dbt orchestration, devops, or serverless cloud architecture, this workshop is for you!

Check the slides here: https://docs.google.com/presentation/d/1NiG0MFkOvw5MNpCZFF74VDuX-jHZpO4a8bHUadukoPI/edit?usp=sharing

Coalesce 2023 is coming! Register for free at https://coalesce.getdbt.com/.

As data science and machine learning adoption grew over the last few years, Python moved up the ranks catching up to SQL in popularity in the world of data processing. SQL and Python are both powerful on their own, but their value in modern analytics is highest when they work together. This was a key motivator for us at Snowflake to build Snowpark for Python: to help modern analytics, data engineering, and data science teams generate insights without complex infrastructure management for separate languages.

Join this session to learn more about how dbt's new support for Python-based models and Snowpark for Python can help polyglot data teams get more value from their data through secure, efficient and performant metrics stores, feature stores, or data factories in the Data Cloud.

Check Notion document here: https://www.notion.so/6382db82046f41599e9ec39afb035bdb

Coalesce 2023 is coming! Register for free at https://coalesce.getdbt.com/.

For enterprises integrating dbt into their transformation technology stack, of paramount importance is how to achieve speed and scale. Sure, dbt will "infinitely scale" due to its underlying cloud native deployment- but only in reference to hosting, execution, and other platform services. HOW does one onboard hundreds or thousands of users with repeatability, conformity, and engineering excellence by design? HOW does an organization integrate dependent platforms and services? Centrally monitor? Share reusable assets? Maintain security?... This talk identifies how Cisco enabled automated services and processes to achieve that scale. Walk away knowing what's in store for you if onboarding dbt, headwinds we faced, and the success Cisco is seeing in our chosen deployment paradigm.

Check the slides here: https://docs.google.com/presentation/d/1e4fG0_60APnCmFDV5a8X7sPOCbKlto3L/edit?usp=sharing&ouid=110293204340061069659&rtpof=true&sd=true

Coalesce 2023 is coming! Register for free at https://coalesce.getdbt.com/.

Data apps are the next wave in analytics engineering. The explosion of data volume and variety combined with an increasing demand for analytics by consumers, and a leap in cloud data technologies triggered an evolution of traditional analytics into the realms of modern data apps. Question is: How do you prepare for this wave? In this session we’ll explore real-world examples of modern data apps, and how the modern data stack is advancing to support sub-second and high concurrency analytics to meet the new wave of demand. We will cover: performance challenges, semi-structured data, data freshness, data modeling and toolsets.

Check the slides here: https://docs.google.com/presentation/d/1MC18SgT_ZHOJePjYizz_WT7dVveaycNw/edit?usp=sharing&ouid=110293204340061069659&rtpof=true&sd=true

Coalesce 2023 is coming! Register for free at https://coalesce.getdbt.com/.