152: The Future Database with Sam Lambert

Databases are key to almost any project, large or small.  Most database systems in the cloud are designed for heavy use and the costs can get expensive quickly, but database-as-a-service is a rapidly growing area, where many databases can share the same hardware for a much reduced rate, or even for free!  Sam Lambert, CEO of PlanetScale, joins Jason and Patrick to discuss database-as-a-service.

00:01:41 Introductions

00:02:34 Sam’s Github learning lesson

00:07:08 The day after

00:10:57 Getting started with databases

00:14:21 Schema change difficulties

00:19:47 Database transactions

00:31:15 Why data recovery matters

00:38:35 Planetscale

00:49:24 Greetings from the past

01:02:01 How Jason discovered Planetscale

01:06:53 Branching

01:14:00 The vision for Planetscale

01:18:12 The rationale behind Planetscale’s work setup

01:24:29 Careers at Planetscale

01:28:06 Amp It Up

01:33:10 Farewells

Resources mentioned in this episode:

Links:

• Sam Lambert:
• Linkedin: https://www.linkedin.com/in/isamlambert/
• PlanetScale:
• Website: https://planetscale.com/
• Twitter: https://twitter.com/planetscaledata
• Linkedin: https://www.linkedin.com/company/planetscale/
• Github: https://github.com/planetscale
• Careers: https://planetscale.com/careers
• Amp It Up (Amazon):
• Paperback: https://www.amazon.com/Amp-Unlocking-Hypergrowth-Expectations-Intensity/dp/1119836115
• Audiobook: https://www.amazon.com/Amp-Hypergrowth-Expectations-Increasing-Elevating/dp/B09QBRBKFB/

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151: Machine Learning Engineering with Liran Hason

Machine Learning Engineer is one of the fastest-growing professions on the planet.  Liran Hason, co-founder and CEO of Aporia, joins us to discuss this new field and how folks can learn the skills and gain the experience needed to become an ML Engineer!

00:00:59 Introductions

00:01:44 How Liran got started making websites

00:07:03 College advice for getting involved in real-world experience

00:12:51 Jumping into the unknown

00:15:22 ML engineering

00:20:50 The missing part in data science development

00:29:16 How to build skills in the ML space

00:37:01 A horror story

00:41:34 Model loading questions

00:47:36 Must-have skills in an ML resume

00:50:41 Deciding about data science

00:59:08 Rust

01:06:27 How Aporia contributes to the data science space

01:14:26 Working at Aporia

01:16:53 Farewells

Resources mentioned in this episode:

Links:

• Liran Hason:
• Linkedin: https://www.linkedin.com/in/hasuni/
• Aporia:
• Website: https://www.aporia.com/
• Twitter: https://twitter.com/aporiaai
• Linkedin: https://www.linkedin.com/company/aporiaai/
• Github: https://github.com/aporia-ai
• The Mom Test (Amazon):
• Paperback: https://www.amazon.com/Mom-Test-customers-business-everyone/dp/1492180742
• Audiobook: https://www.amazon.com/The-Mom-Test-Rob-Fitzpatrick-audiobook/dp/B07RJZKZ7F

References:

• Shadow Mode: https://christophergs.com/machine%20learning/2019/03/30/deploying-machine-learning-applications-in-shadow-mode/
• Blue-green deployment: https://en.wikipedia.org/wiki/Blue-green_deployment
• Coursera ML Specialization (Stanford): https://www.coursera.org/specializations/machine-learning-introduction
• Auto-retraining: https://neptune.ai/blog/retraining-model-during-deployment-continuous-training-continuous-testing

If you’ve enjoyed this episode, you can listen to more on Programming Throwdown’s website: https://www.programmingthrowdown.com/

Reach out to us via email: programmingthrowdown@gmail.com

You can also follow Programming Throwdown on 

Facebook | Apple Podcasts | Spotify | Player.FM 

Join the discussion on our Discord

Help support Programming Throwdown through our Patreon