Despite spending $553,451.01 for a data warehouse, an ELT solution, a BI Layer, and a data engineering team, many executives are still stuck scratching their heads, wondering: - Why is our dashboard still missing key metrics leadership asks for - Why do simple data questions

Behind every business-critical dashboard, there’s a 2500-line SQL query written by someone who left three years ago. - No tests. - No ownership. - No documentation. Just enough duct tape to keep the business running. Then business executives wonder why it takes so long to

a very strange thing developers do Me> "Hey i use ghostty" Them> "Why don't you use kitty" ... wtf, i didn't even say anything about kitty, why is it always WHY NOT instead of WHY

Should I still be working as a data engineering consultant in 2025? All the exciting stuff happens in AI and data science now, right? And besides...won’t AI replace all the manual plumbing soon? …I ask myself that question more often than you’d think. But here’s the truth:

“It’s important to be high-agency, never follow the herd, and think independently” - Tyler, 29, Ivy League grad, FAANG employee, lives in SF, into rock climbing, craft beer, and axe throwing

Every person I met who had a Personal CRM turned out to be a sociopath/psychopath over a timeline of 10 years

NotebookLM is one of the few AI products that feels like magic It took them 1.5 years, but today they finally launched a mobile app Google has the best AI tech. We'll see if that's enough to overcome their awful go-to-market execution. Historically, it has been

You've just started your new job as a data analytics manager. The company is working with all the tools you've read articles about, Iceberg, SQLMesh, Spark. You pause and sigh and think, this time it'll be different. No more spaghetti data pipelines, no more fighting shadow data

SQL is Dead! These posts are back! I just saw one today written in all seriousness. If you started in the data world in the early 2010s, you probably saw this a lot with NoSQL. Sure NoSQL stood for not only SQL, but there were plenty of tools and new query languages trying to

Hype is not a data strategy. But you better believe consultancies will sell you the dream of AI and data-driven results for 12 easy payments of $100,000.99 Since I started working in data, I've heard business and data leaders repeat the same phrase over and over again. "Our

David Sacks right now

MISSING: These 4 podcasters have not been seen in over 9 days They were due back in the podcast studio 3 days again If you know anything, PLEASE contact your local podcast network with information

If you give 10 data engineers the same data sources and ask them to create a data platform to support the same use cases, you’ll probably get 11 different approaches. Databricks launching Lakebase is going to make it 12. And somehow companies will still be struggling to become

If you're looking to get up to speed fast on data engineering and analytics, then here are ten free articles and videos you're going to want to check out. 1. How To Data Model – Real Life Examples Of How Companies Model Their Data theseattledataguy.com/how-to-data-mo… 2. Data Engineers Vs

VCs are measured by this obscure metric called how much money you return to LPs

Your CEO when you tell them you’ve spent $28,000/mo on Snowflake and yet... - You haven’t delivered a single dashboard or integrated a machine learning model. - There’s still no automated report going out to sales or marketing. - The churn model they keep hearing about is stuck

Over 1,257 people have registered for the Free 6-Day Data Infrastructure & Leadership Series I'll be running...and it all kicks off next week! If you're looking to learn more about how real data problems are solved keep reading. Here’s what you’ll get from the series: - 6

I recommend that everyone get into gardening. That way, you too can spend $500 to grow $5 worth of vegetables and be stressed about why the bees aren't pollinating your cucumbers.