This show goes behind the scenes for the tools, techniques, and difficulties associated with the discipline of data engineering. Databases, workflows, automation, and data manipulation are just some of the topics that you will find here.
https://www.dataengineeringpodcast.com
Introducing The Show
Preamble
- Hello and welcome to the Data Engineering Podcast, the show about modern data infrastructure
- Go to dataengineeringpodcast.com to subscribe to the show, sign up for the newsletter, read the show notes, and get in touch.
- You can help support the show by checking out the Patreon page which is linked from the site.
- To help other people find the show you can leave a review on iTunes, or Google Play Music, share it on social media, and tell your friends and co-workers.
- I’m your host, Tobias Macey, and today I’m speaking with Maxime Beauchemin about what it means to be a data engineer.
- Who am I
- Systems administrator and software engineer, now DevOps, focus on automation
- Host of Podcast.__init__
- How did I get involved in data management
- Why am I starting a podcast about Data Engineering
- Interesting area with a lot of activity
- Not currently any shows focused on data engineering
- What kinds of topics do I want to cover
- Data stores
- Pipelines
- Tooling
- Automation
- Monitoring
- Testing
- Best practices
- Common challenges
- Defining the role/job hunting
- Relationship with data engineers/data analysts
- Get in touch and subscribe
- Website
- Newsletter
The intro and outro music is from The Hug by The Freak Fandango Orchestra / CC BY-SA
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