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dbt Coalesce 2022

2022-10-11 YouTube Visit website ↗

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Data Change Management: Lessons Learned at Vouch

Data Change Management: Lessons Learned at Vouch

2022-10-25 Watch
video
Kshitij Aranke (Vouch Insurance)
dbt

Allowing more people into the data development process can improve shipment speed, but can also cause some anxiety for folks that wonder how to preserve best practices as participation expands. In his session, Kshitij Aranke (Vouch Insurance), shares how his team created safe inroads to communal development through automated change management on dbt projects that provided automatic best practice checks on each pull request.

Check Google Slides here: https://docs.google.com/presentation/d/17D2DC4KUxfLopYLMvK4ywFVy5MPaPFeRE9fskkir0CM/edit#slide=id.gac0f4c9a75_0_0

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

Minimum viable (data) product

Minimum viable (data) product

2022-10-25 Watch
video
Michal Kolacek (Slido)

Analytics work mirrors product development: identify a user need, build a minimum viable product to address that need, evaluate the impact and iterate. In this talk, Michal Kolacek, analytics engineer at Slido describes how MVP-like thinking can help data teams counterbalance and complement the standardized approaches of dbt.

We will walk through Slido’s evolution in their approach, tooling and the vision of building better data products using Deepnote notebooks. Finally, we will take a look under the hood of the new dbt integration in Deepnote and outline how data teams can use it to accelerate model prototyping and metrics workflows.

Check the slides here: https://docs.google.com/presentation/d/1-L7ndud6z5gsFtF3WdjA6AVG40_vrCAcVRNarqWNtPg/edit?usp=sharing

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

Seeing is Believing: Data Observability with dbt Labs

Seeing is Believing: Data Observability with dbt Labs

2022-10-25 Watch
video

The modern data platform elegantly consists of a complex set of elements. It must manage data from multiple source systems existing in different locations that are matched, consolidated, controlled, and packaged with business logic within an infrastructure of varied technologies strung together. Providing evidence and trust, an observability platform with dbt as the hub monitors ELT down to the individual processes. It ensures that SLAs are met regarding availability, throughput, and quality. Come see how Slalom confidently assures the user community that the democratized data there meets organizational standards.

Check Notion document here: https://montrealanalytics.notion.site/Coalesce-Workshop-Guide-6382db82046f41599e9ec39afb035bdb

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

The Return on Analytics Engineering

The Return on Analytics Engineering

2022-10-25 Watch
video
David Jayatillake (Metaplane)

As analytics engineers and data people, we know the value we create in our own blood, sweat, and dbt models. But how is this value actually realized in practice? In this talk, David Jayatillake (Metaplane) draws on his experiences to discuss the processes, ways of thinking, tooling, and governance needed to realize the benefits from analytics engineering work in the greater organization.

Check the slides here: https://docs.google.com/presentation/d/1VmmqNQsrv1t0uuV81O6PJQ1XASyLRGxvAdB8eWIG9TQ/edit?usp=sharing

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

When analysts outnumber engineers 5 to 1: Our journey with dbt at M1

When analysts outnumber engineers 5 to 1: Our journey with dbt at M1

2022-10-25 Watch
video

How do you train and enable 20 data analysts to use dbt Core in a short amount of time?

At M1, engineering and analytics are far apart on the org chart, but work hand-in-hand every day. M1 engineering has a culture that celebrates open source, where every data engineer is trained and empowered to work all the way down the infrastructure stack, using tools like Terraform and Kubernetes. The analytics team is comprised of strong SQL writers who use Tableau to create visualizations used company wide. When M1 knew they needed a tool like dbt for change management and data documentation generation, they had to figure out how to bridge the gap between engineering and analytics to enable analysts to contribute with minimal engineering intervention. Join Kelly Wachtel, a senior data engineer at M1, explain how they trained about 20 analysts to use git and dbt Core over the past year, and strengthened their collaboration between their data engineering and analytics teams.

Check the slides here: https://docs.google.com/presentation/d/1CWI97EMyLIz6tptLPKt4VuMjJzV_X3oO/edit?usp=sharing&ouid=110293204340061069659&rtpof=true&sd=true

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

Partner Day

Partner Day

2022-10-17 Watch
video
dbt

Participants in the dbt Labs partnership program are invited to a partner-only event on Monday, October 17th to hear what’s new on our product and company roadmap, learn about our partner programs, and meet the dbt Labs team and colleagues at other partner companies.

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