Resource Library

Insights from Evan Cover, Director of BI Engineering and Governance at Klaviyo

Joe Reis, Matt Housley, and Kevin discuss GitEx and dbt Coalesce

Previously recorded webinar from September 21st on how Ramp uses data

Rijnhardt Kotze, founder of Horizon Data, chats with Kevin Hu about success stories Horizon Data has seen among their consultancy's most successful clients.

How do you justify the investment in data quality to the decision-makers in your organization? In this webinar, we'll discuss the ROI of data quality and how to prove its value to technical leaders.

In this livestream, Etai Mizrahi, CEO at Secoda, and Kevin Hu, CEO at Metaplane, will be discussing the steps you can take to improve data enablement across your organization, with a focus on communicating and providing value to stakeholders outside of the data team.

Join leaders from Snowflake, Metaplane, and Sigma for demos of how businesses use Snowflake, Metaplane, and Sigma to deliver trusted data.

Lucas Smith is an analytics leader at Hudl who has spanned the gamut from data to product analytics.

Who owns the data contract? And who enforces it? We're lucky to be joined by Ananth, the creator of https://schemata.app and editor of the famed Data Engineering Weekly.

Join Kevin and David as they interview special guest Thomas in't Veld about three ways data teams fail at scaling companies.

We've got one of the nicest people in data on the show this week: James Sharwin of Car & Classic. James started as a Data Team of One, and successfully got Car & Classic's data team off the ground.

The pros and cons of building vs buying a data observability tool, and how open source software plays a role in building.

Kevin and David talk with Ilan Man, the VP of Data & Analytics at the legendary Brooklyn Data Co, and someone who's seen it all - including the pitfalls and benefits of managing distributed data teams.

David and Kevin tackle some tough questions like: What's the return on Data Observability?

During this live event, Kevin Hu and David Jayatillake cover the hard questions people ask most, like: What exactly is meant by the term data observability?

Come wrap up 2022 with a quick dip into hard questions like: Why should you add data observability to your list of priorities for the new year? Why shouldn't you?

Kevin talks at the Airbyte Move Data '22 conference about the 5 root causes of data quality issues.

Join Marion Pavillet (Mux) and Kevin Hu (Metaplane) as they share stories around scaling data stacks at a large and small companies, demonstrate how they used modern tools to help improve data lineage and accuracy, and discuss the power of metadata in improving data products over time.

How do you support exponentially growing companies without breaking as a data team? The answer is increasing your leverage with tools and processes.

Mary and Kevin discuss questions: What’s it like to be a founder right now–in a macro-climate of tech lay-offs, gloomy expectations, and maybe even some ambient… fear?

During the episode, Kevin discusses why data problem are “silent,” how much we can trust data (today), and the role of data lakes in the future.

This webinar covers how DO emerged within modern data teams, and then how you can implement it in practice today.

Kevin discusses "Data Observability" with host Priyanka Raghavan. The discussion touches upon Data observability roots, components, differences with software observability and tooling.

In this episode of Data Beats, Kevin breaks down the differences between tool categories (e.g. Software Observability vs Data Observability), and includes how he'd think about evaluating data observability tool(s).

In this podcast, Kevin and Joe adress topics ranging from defining data observability versus other types of observability, the use of specific models and when, and what's next for data observability?

This talk is a deep dive into DO, starting from its origins (why it matters), defining the scope and components of DO (what it is), and finally closing with actionable advice for putting observability into practice (how to do it).

In this episode, Kevin Hu joins the podcast to talk about founding and growing the data observability startup, Metaplane.

In this webinar, Kevin covers trends in Data Observability but also covers questions with Joe and Matt including: How is Isaac Newton related to Data Observability?

Kevin Hu, the co-founder and CEO of Metaplane, came on the TDS podcast to talk data observability, why it matters, and how it might be connected to responsible AI.

Anthony from Tamr sits down with Kevin Hu, CEO and co-founder of Metaplane, a new data observability company. The two discuss whether bugs exist in data, what Kevin learned from Y Combinator, and what the kids are studying these days.