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Tristan Handy

15 Podcast Episodes

Latest 8 Jan 2022 | Updated Daily

Weekly hand curated podcast episodes for learning

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DBT: Data Build Tool with Tristan Handy

Podcast – Software Engineering Daily

Applications write data to persistent storage like a database.  The most popular database query language is SQL which has many similar dialects.  SQL is expressive and powerful for describing what data you want.  What you do with that data requires a solution in the form of a data pipeline.  Ideally, these analytical workflows can follow similar best practices to those handled in application code. DBT is a transformation workflow that lets teams deploy analytics code following software engineering best practices like modularity, portability, CI/CD, and documentation. Users who know SQL can build production-grade data pipelines.  In this episode, I interview Tristan Handy, CEO, and founder of DBT Labs. Sponsorship inquiries: sponsor@softwareengineeringdaily.com The post DBT: Data Build Tool with Tristan Handy appeared first on Software Engineering Daily.

44mins

28 Sep 2021

Episode artwork

DBT: Data Build Tool with Tristan Handy

Software Engineering Daily

Applications write data to persistent storage like a database.  The most popular database query language is SQL which has many similar dialects.  SQL is expressive and powerful for describing what data you want.  What you do with that data requires a solution in the form of a data pipeline.  Ideally, these analytical workflows can follow similar best practices to those handled in application code. DBT is a transformation workflow that lets teams deploy analytics code following software engineering best practices like modularity, portability, CI/CD, and documentation. Users who know SQL can build production-grade data pipelines.  In this episode, I interview Tristan Handy, CEO, and founder of DBT Labs. Sponsorship inquiries: sponsor@softwareengineeringdaily.com The post DBT: Data Build Tool with Tristan Handy appeared first on Software Engineering Daily.

44mins

28 Sep 2021

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Episode artwork

DBT: Data Build Tool with Tristan Handy

Data – Software Engineering Daily

Applications write data to persistent storage like a database.  The most popular database query language is SQL which has many similar dialects.  SQL is expressive and powerful for describing what data you want.  What you do with that data requires a solution in the form of a data pipeline.  Ideally, these analytical workflows can follow similar best practices to those handled in application code. DBT is a transformation workflow that lets teams deploy analytics code following software engineering best practices like modularity, portability, CI/CD, and documentation. Users who know SQL can build production-grade data pipelines.  In this episode, I interview Tristan Handy, CEO, and founder of DBT Labs. Sponsorship inquiries: sponsor@softwareengineeringdaily.com The post DBT: Data Build Tool with Tristan Handy appeared first on Software Engineering Daily.

44mins

28 Sep 2021

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#86 The Power of Community and Analytics Engineering with Tristan Handy, Founder & CEO of dbt Labs

Hashmap on Tap

Tristan Handy is the Founder and CEO at dbt Labs, a company that pioneered the practice of analytics engineering, and today supports a community of over 16,000 data practitioners committed to changing how data teams work together. Join Tristan and Kelly over a kombucha as they discuss how dbt Labs started, where they are today, and how they built such a large community of data practitioners.  Show Notes: https://www.getdbt.com/ Join the dbt Community: https://community.getdbt.com/ The Analytics Engineering Podcast: https://roundup.getdbt.com/s/the-analytics-engineering-podcast Claire Carroll's Blog Post: https://blog.getdbt.com/bringing-back-the-magic-to-the-dbt-community-part-one/ The Analytics Engineering Roundup: https://roundup.getdbt.com/ Coalesce 2021: https://coalesce.getdbt.com/ Ekta Indian Restaurant: https://www.ektaindianrestaurant.com/fishtown/ On tap for today's episode: Gingerberry Synergy Kombucha and Ginger-Lemon Health-Ade Kombucha Contact Us: https://www.hashmapinc.com/reach-out

46mins

17 Aug 2021

Most Popular

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Building the Modern Data Stack w/ Tristan Handy

Leading with Data

This is a story about more people having access to more data. It's also a story about a man who was at the right place at the right time to spot an opportunity from the outside. He saw a handful of visionary entrepreneurs who changed the way analytics was done. Back then, it looked terrible. Today, it's his superpower. That man is Tristan Handy, and he's the founder and CEO of Fishtown Analytics. Tristan joined us on the podcast today to talk about the modern data stack, what it looks like, and how to implement it. In this episode, we discuss: -What the modern data stack is and how it replaced the old-school, less-scalable environment -Where the transform happens in the modern data stack -Why this type of change is so tough on companies If you want to hear more, subscribe to Leading with Data on Apple Podcasts, Spotify, or here. Listening on a desktop & can’t see the links? Just search for Leading with Data in your favorite podcast player.

47mins

6 Apr 2021

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How to Be Patient with Tristan Handy of Fishtown Analytics

Inc. Founders Project with Alexa von Tobel

Tristan Handy did not set out to build a venture-scale startup, backed by the likes of Andreessen Horowitz and Sequoia. But that's precisely the journey he's on after founding Fishtown Analytics back in 2016. The company started as a consulting firm, but Tristan soon realized that their core technology—dbt—was a powerful tool in the budding field of modern analytics engineering. Today, dbt is used by over 3,000 companies to organize, catalog, and distill knowledge from their data warehouses. Tristan shares how he built dbt's community and grew through an organic flywheel, why the next generation of knowledge workers will increasingly work in code, and why working within time constraints makes him a more mature founder.

30mins

24 Feb 2021

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The Roles in Data Science, feat. Tristan Handy, CEO & Founder of Fishtown Analytics

The Banana Data Podcast

With Tristan Handy, CEO & Founder of Fishtown Analytics, we ask -- who should be part of the data science process? Bearing both technical requirements and business objectives, the data scientist cannot run the show on her own. We ask what it means to collaborate intra-, inter-, and out of teams, when to do bring heads together, and how to do it successfully.To download DBT, be sure to check out https://www.getdbt.com/. You can also learn more about Fishtown Analytics and Tristan Handy at https://www.fishtownanalytics.com/.

25mins

14 Mar 2020

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DBT: Data Build Tool with Tristan Handy

Software Engineering Daily

A data warehouse serves the purpose of providing low latency queries for high volumes of data. A data warehouse is often part of a data pipeline, which moves data through different areas of infrastructure in order to build applications such as machine learning models, dashboards, and reports. Modern data pipelines are often associated with the term “ELT” or Extract, Load, Transform. In the “ELT” workflow, data is taken out of a source such as a data lake, loaded into a data warehouse, and then transformed within the data warehouse to create materialized views on the data. Data warehouse queries are usually written in SQL, and for the last 50 years, SQL has been the primary language for executing these kinds of queries.  DBT is a system for data modeling that allows the user to write queries that involve a mix of SQL and a templating language called Jinja. Jinja allows the analyst to blend imperative code along with the declarative SQL. Tristan Handy is the CEO of Fishtown Analytics, the company that created DBT, and he joins the show to discuss how DBT works, and the role it plays in modern data infrastructure. Sponsorship inquiries: sponsor@softwareengineeringdaily.com The post DBT: Data Build Tool with Tristan Handy appeared first on Software Engineering Daily.

1hr 7mins

9 Mar 2020

Episode artwork

DBT: Data Build Tool with Tristan Handy

Software Daily

A data warehouse serves the purpose of providing low latency queries for high volumes of data. A data warehouse is often part of a data pipeline, which moves data through different areas of infrastructure in order to build applications such as machine learning models, dashboards, and reports.Modern data pipelines are often associated with the term “ELT” or Extract, Load, Transform. In the “ELT” workflow, data is taken out of a source such as a data lake, loaded into a data warehouse, and then transformed within the data warehouse to create materialized views on the data. Data warehouse queries are usually written in SQL, and for the last 50 years, SQL has been the primary language for executing these kinds of queries. DBT is a system for data modeling that allows the user to write queries that involve a mix of SQL and a templating language called Jinja. Jinja allows the analyst to blend imperative code along with the declarative SQL. Tristan Handy is the CEO of Fishtown Analytics, the company that created DBT, and he joins the show to discuss how DBT works, and the role it plays in modern data infrastructure.

9 Mar 2020

Episode artwork

DBT: Data Build Tool with Tristan Handy

Data – Software Engineering Daily

A data warehouse serves the purpose of providing low latency queries for high volumes of data. A data warehouse is often part of a data pipeline, which moves data through different areas of infrastructure in order to build applications such as machine learning models, dashboards, and reports. Modern data pipelines are often associated with the term “ELT” or Extract, Load, Transform. In the “ELT” workflow, data is taken out of a source such as a data lake, loaded into a data warehouse, and then transformed within the data warehouse to create materialized views on the data. Data warehouse queries are usually written in SQL, and for the last 50 years, SQL has been the primary language for executing these kinds of queries.  DBT is a system for data modeling that allows the user to write queries that involve a mix of SQL and a templating language called Jinja. Jinja allows the analyst to blend imperative code along with the declarative SQL. Tristan Handy is the CEO of Fishtown Analytics, the company that created DBT, and he joins the show to discuss how DBT works, and the role it plays in modern data infrastructure. Sponsorship inquiries: sponsor@softwareengineeringdaily.com The post DBT: Data Build Tool with Tristan Handy appeared first on Software Engineering Daily.

59mins

9 Mar 2020

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