Data Engineering Podcast

Digging Into Data Reliability Engineering


Listen Later

Summary

The accuracy and availability of data has become critically important to the day-to-day operation of businesses. Similar to the practice of site reliability engineering as a means of ensuring consistent uptime of web services, there has been a new trend of building data reliability engineering practices in companies that rely heavily on their data. In this episode Egor Gryaznov explains how this practice manifests from a technical and organizational perspective and how you can start adopting it in your own teams.

Announcements
  • Hello and welcome to the Data Engineering Podcast, the show about modern data management
  • When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode. With their managed Kubernetes platform it’s now even easier to deploy and scale your workflows, or try out the latest Helm charts from tools like Pulsar and Pachyderm. With simple pricing, fast networking, object storage, and worldwide data centers, you’ve got everything you need to run a bulletproof data platform. Go to dataengineeringpodcast.com/linode today and get a $100 credit to try out a Kubernetes cluster of your own. And don’t forget to thank them for their continued support of this show!
  • Atlan is a collaborative workspace for data-driven teams, like Github for engineering or Figma for design teams. By acting as a virtual hub for data assets ranging from tables and dashboards to SQL snippets & code, Atlan enables teams to create a single source of truth for all their data assets, and collaborate across the modern data stack through deep integrations with tools like Snowflake, Slack, Looker and more. Go to dataengineeringpodcast.com/atlan today and sign up for a free trial. If you’re a data engineering podcast listener, you get credits worth $3000 on an annual subscription
  • Schema changes, missing data, and volume anomalies caused by your data sources can happen without any advanced notice if you lack visibility into your data-in-motion. That leaves DataOps reactive to data quality issues and can make your consumers lose confidence in your data. By connecting to your pipeline orchestrator like Apache Airflow and centralizing your end-to-end metadata, Databand.ai lets you identify data quality issues and their root causes from a single dashboard. With Databand.ai, you’ll know whether the data moving from your sources to your warehouse will be available, accurate, and usable when it arrives. Go to dataengineeringpodcast.com/databand to sign up for a free 30-day trial of Databand.ai and take control of your data quality today.
  • Your host is Tobias Macey and today I’m interviewing Egor Gryaznov, co-founder and CTO of Bigeye, about the ideas and practices of data reliability engineering and how to integrate it into your systems
  • Interview
    • Introduction
    • How did you get involved in the area of data management?
    • What does the term "Data Reliability Engineering" mean?
    • What is encompassed under the umbrella of Data Reliability Engineering?
      • How does it compare to the concepts from site reliability engineering?
      • Is DRE just a repackaged version of DataOps?
      • Why is Data Reliability Engineering particularly important now?
      • Who is responsible for the practice of DRE in an organization?
      • What are some areas of innovation that teams are focusing on to support a DRE practice?
      • What are the tools that teams are using to improve the reliability of their data operations?
      • What are the organizational systems that need to be in place to support a DRE practice?
        • What are some potential roadblocks that teams might have to address when planning and implementing a DRE strategy?
        • What are the most interesting, innovative, or unexpected approaches/solutions to DRE that you have seen?
        • What are the most interesting, unexpected, or challenging lessons that you have learned while working on Data Reliability Engineering?
        • Is Data Reliability Engineering ever the wrong choice?
        • What do you have planned for the future of Bigeye, especially in terms of Data Reliability Engineering?
        • Contact Info
          • Find us at bigeye.com or reach out to us at [email protected]
          • You can find Egor on LinkedIn or email him at [email protected]
          • Parting Question
            • From your perspective, what is the biggest gap in the tooling or technology for data management today?
            • Links
              • Bigeye
                • Podcast Episode
                • Vertica
                • Looker
                  • Podcast Episode
                  • Site Reliability Engineering
                  • Stemma
                    • Podcast Episode
                    • Collibra
                      • Podcast Episode
                      • OpenLineage
                        • Podcast Episode
                        • The intro and outro music is from The Hug by The Freak Fandango Orchestra / CC BY-SA

                          Support Data Engineering Podcast

                          ...more
                          View all episodesView all episodes
                          Download on the App Store

                          Data Engineering PodcastBy Tobias Macey

                          • 4.5
                          • 4.5
                          • 4.5
                          • 4.5
                          • 4.5

                          4.5

                          142 ratings


                          More shows like Data Engineering Podcast

                          View all
                          The Changelog: Software Development, Open Source by Changelog Media

                          The Changelog: Software Development, Open Source

                          290 Listeners

                          Software Engineering Daily by Software Engineering Daily

                          Software Engineering Daily

                          623 Listeners

                          Talk Python To Me by Michael Kennedy

                          Talk Python To Me

                          584 Listeners

                          Super Data Science: ML & AI Podcast with Jon Krohn by Jon Krohn

                          Super Data Science: ML & AI Podcast with Jon Krohn

                          302 Listeners

                          NVIDIA AI Podcast by NVIDIA

                          NVIDIA AI Podcast

                          333 Listeners

                          Practical AI by Practical AI LLC

                          Practical AI

                          204 Listeners

                          AWS Podcast by Amazon Web Services

                          AWS Podcast

                          205 Listeners

                          Last Week in AI by Skynet Today

                          Last Week in AI

                          306 Listeners

                          Dwarkesh Podcast by Dwarkesh Patel

                          Dwarkesh Podcast

                          517 Listeners

                          The Data Engineering Show by The Firebolt Data Bros

                          The Data Engineering Show

                          8 Listeners

                          No Priors: Artificial Intelligence | Technology | Startups by Conviction

                          No Priors: Artificial Intelligence | Technology | Startups

                          130 Listeners

                          Latent Space: The AI Engineer Podcast by swyx + Alessio

                          Latent Space: The AI Engineer Podcast

                          92 Listeners

                          This Day in AI Podcast by Michael Sharkey, Chris Sharkey

                          This Day in AI Podcast

                          228 Listeners

                          The AI Daily Brief: Artificial Intelligence News and Analysis by Nathaniel Whittemore

                          The AI Daily Brief: Artificial Intelligence News and Analysis

                          630 Listeners

                          AI + a16z by a16z

                          AI + a16z

                          36 Listeners