DiscoverData Engineering PodcastBuilding A Better Data Warehouse For The Cloud At Firebolt - Episode 148
Building A Better Data Warehouse For The Cloud At Firebolt - Episode 148

Building A Better Data Warehouse For The Cloud At Firebolt - Episode 148

Update: 2020-09-01
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Summary


Data warehouse technology has been around for decades and has gone through several generational shifts in that time. The current trends in data warehousing are oriented around cloud native architectures that take advantage of dynamic scaling and the separation of compute and storage. Firebolt is taking that a step further with a core focus on speed and interactivity. In this episode CEO and founder Eldad Farkash explains how the Firebolt platform is architected for high throughput, their simple and transparent pricing model to encourage widespread use, and the use cases that it unlocks through interactive query speeds.


Announcements



  • Hello and welcome to the Data Engineering Podcast, the show about modern data management

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  • Today’s episode of the Data Engineering Podcast is sponsored by Datadog, a SaaS-based monitoring and analytics platform for cloud-scale infrastructure, applications, logs, and more. Datadog uses machine-learning based algorithms to detect errors and anomalies across your entire stack—which reduces the time it takes to detect and address outages and helps promote collaboration between Data Engineering, Operations, and the rest of the company.
    Go to dataengineeringpodcast.com/datadog today to start your free 14 day trial. If you start a trial and install Datadog’s agent, Datadog will send you a free T-shirt.

  • You listen to this show to learn and stay up to date with what’s happening in databases, streaming platforms, big data, and everything else you need to know about modern data platforms. For more opportunities to stay up to date, gain new skills, and learn from your peers there are a growing number of virtual events that you can attend from the comfort and safety of your home. Go to dataengineeringpodcast.com/conferences to check out the upcoming events being offered by our partners and get registered today!

  • Your host is Tobias Macey and today I’m interviewing Eldad Farkash about Firebolt, a cloud data warehouse optimized for speed and elasticity on structured and semi-structured data


Interview



  • Introduction

  • How did you get involved in the area of data management?

  • Can you start by describing what Firebolt is and your motivation for building it?

  • How does Firebolt compare to other data warehouse technologies what unique features does it provide?

  • The lines between a data warehouse and a data lake have been blurring in recent years. Where on that continuum does Firebolt lie?

  • What are the unique use cases that Firebolt allows for?

  • How do the performance characteristics of Firebolt change the ways that an engineer should think about data modeling?

  • What technologies might someone replace with Firebolt?

  • How is Firebolt architected and how has the design evolved since you first began working on it?

  • What are some of the most challenging aspects of building a data warehouse platform that is optimized for speed?

  • How do you handle support for nested and semi-structured data?

  • In what ways have you found it necessary/useful to extend SQL?

  • Due to the immutability of object storage, for data lakes the update or delete process involves reprocessing a potentially large amount of data. How do you approach that in Firebolt with your F3 format?

  • What have you found to be the most interesting, unexpected, or challenging lessons while building and scaling the Firebolt platform and business?

  • When is Firebolt the wrong choice?

  • What do you have planned for the future of Firebolt?


Contact Info



Parting Question



  • From your perspective, what is the biggest gap in the tooling or technology for data management today?


Closing Announcements



  • Thank you for listening! Don’t forget to check out our other show, Podcast.__init__ to learn about the Python language, its community, and the innovative ways it is being used.

  • Visit the site to subscribe to the show, sign up for the mailing list, and read the show notes.

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Links



The intro and outro music is from The Hug by The Freak Fandango Orchestra / CC BY-SA



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Building A Better Data Warehouse For The Cloud At Firebolt - Episode 148

Building A Better Data Warehouse For The Cloud At Firebolt - Episode 148

Tobias Macey