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The Power of Naming Conventions (especially w/ dbt)
For most data teams, one of the more challenging discussions you'll have is that of naming conventions. This is especially true with the popular data transformation tool, dbt. It's something where there's a lot of ego & strongly help opinions involved. But it's also something that's incredibly important. And yes, this isn't the most glamorous part of the job... But the decisions that you make will have a real impact on your personal performance and efficiency. And more importantly, can alter the effectiveness of your whole team. So that's why in this video, I want to talk about why good naming conventions are so important. And why the resulting decision can directly impact your time, energy and overall effectiveness.
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The Power of Naming Conventions (especially w/ dbt)
Which type of architecture would you want MOST?
Which word best describes it? Any why?
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New comment 2d ago
Where you're stuck
I've now crossed 200 YouTube videos and tried to share as much of my data knowledge as possible over the past 3+ years. Yet the most common questions I still hear are usually along the lines of: - What tools or skills should I learn? - Can you give me a roadmap to help me "break into" Data Engineering? - Is [x] tool/skill better than [y] tool/skill? - Can you help me solve [this specific] scenario? But IMO, most of the time there aren't good blanket answers to these questions. What's best for you will be unique to your prior experience, current skillset and most importantly where you'll be working. Truthfully, at the moment, I'm a bit stuck myself as to what to focus my content on going forward. I can continue to pump out tutorials and explainers to help you along your journey, but I believe there might be other more nuanced areas I can help too. But I don't want to continue creating content without a clear purpose other than just giving "more information". So I could use your help! Let's assume you've done your Google/YouTube/ChatGPTing and found sufficient answers to the above questions... What else do you consistently find yourself stuck on or find frustrating? This could be anything related or adjacent to your data career. What have you tried so far to get answers (perhaps even paid money for) but still having trouble? Your feedback is immensely helpful and I'll do my best to answer where I can! Thank you! -Michael
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New comment 7d ago
Mysql to Redshift
Hey Guys, I have: - a transactional database in Mysql hosted in amazon RDS - a data warehouse in Amazon redshift. Can I use DMS (Amazon database migration services) to replicate data every 15 minutes from mysql to DW. or should I necessarily go for other third party tools. [Stitch, Fivetran...] Thank you
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New comment 8d ago
Playbook for dbt
@Michael Kahan I recently started a new "dbt heavy" role and wanted to say thanks for the awesome course! The Playbook for dbt course covers 95% (maybe more) of dbt functionality my team uses
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New comment 9d ago
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