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Getting a big tech data engineer job in 2016: - do you know SQL? - yes - here’s $500k Getting a big tech data engineer job in 2024: - do you know Spark, Kafka, Iceberg? - yes - did you shake hands with Bill Inmon when he invented the... show more

Zach Wilson

48,608 subscribers

43,547 views • 2 years ago •via X (Twitter)

Comedy Science & Technology Education

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5 Comments

DataProfessorX2 years ago

People still underestimate the AI effect, In a couple years more, it will become more clear

MicroSectors3 years ago

Are you a sophisticated investor that is bullish on big tech stocks? Learn more about $BULZ here:

XyzzyPoof2 years ago

4) the y401B Visa workers are paid 50% or less of what you are

Zach Morris Wilson2 years ago

@SeamansRC No they aren’t 😂

silverlightwa2 years ago

Damn you are still grifting?

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Zach Wilson

29,420 views • 1 year ago

Did you know that Facebook made $134.9 billion in 2023 from selling your data? Our society has come to the point where we accepted an unfair model in which privacy is being exploited and data gifted to big tech that is selling it for billions. We intend to break the norm of how data is shared on the internet because it is outdated and unfair. You should be empowered with more control and monetization models for your data!

Did you know that Facebook made $134.9 billion in 2023 from selling your data? Our society has come to the point where we accepted an unfair model in which privacy is being exploited and data gifted to big tech that is selling it for billions. We intend to break the norm of how data is shared on the internet because it is outdated and unfair. You should be empowered with more control and monetization models for your data!

Solana ID 🪷

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I don't know if SQL is bad or not but losing user data in the middle of a workflow certainly is! Did you know you can block React Router navigations in to prevent losing user data? let blocker = useBlocker(shouldBlock) blocker.state blocker.proceed() blocker.reset()

I don't know if SQL is bad or not but losing user data in the middle of a workflow certainly is! Did you know you can block React Router navigations in to prevent losing user data? let blocker = useBlocker(shouldBlock) blocker.state blocker.proceed() blocker.reset()

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🚨Governor DeSantis says he is about to sign legislation that will effectively BLOCK hyperscale AI data centers from coming to Florida! “They come in and these big tech companies are building these massive data centers that take up as much power as a city of half a million people. Well guess what? Supply and demand. Do you think your electricity rates go up when that happens? Yes, it does. So this would BLOCK that basically. No rate payer should have to pay ONE RED CENT because of big tech and we'll be one of the first states to do it!”

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Chris Nelson 🏝️🇺🇸

88,417 views • 6 months ago

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Animoca Brands

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Your agents can't keep up with real-time data. Especially when it's scattered across dozens of sources. Most teams waste weeks building custom connectors for every database, API, and data warehouse. Then they build ETL pipelines to sync everything. By the time your agent retrieves the data, it's already outdated. Picture this: Your Postgres database updated 5 minutes ago. Your MongoDB collection changed 2 minutes ago. Your agent is still pulling from yesterday's snapshot. This is why most production RAG systems fail. There's a better approach: MindsDB is an open-source AI platform with a federated data engine that lets you query multiple data sources in real-time using SQL - without moving any data. Here's what makes it different: ↳ Your data stays in place. No ETL pipelines or data duplication ↳ Query Postgres, MongoDB, REST APIs, and more using consistent SQL ↳ JOIN across different sources in real-time with a unified interface ↳ Works with both structured and un-structured data And here's the best part: You don't even need to write SQL. Just describe what you want in plain English, and MindsDB converts it to SQL automatically. The system does all the heavy lifting. The breakthrough for AI agents is simple: When data updates at the source, your agent gets fresh results immediately. No sync delays. No stale embeddings. No custom code for each integration. You can literally write a SQL query that joins a Postgres table with a MongoDB collection and gets live results. This is what production AI applications need but rarely get. In this video, I give you a complete walkthrough of what we just discussed and how to actually do it. Make sure you watch this till the end. I've shared the link to MindsDB's GitHub repo in the next tweet!

Your agents can't keep up with real-time data. Especially when it's scattered across dozens of sources. Most teams waste weeks building custom connectors for every database, API, and data warehouse. Then they build ETL pipelines to sync everything. By the time your agent retrieves the data, it's already outdated. Picture this: Your Postgres database updated 5 minutes ago. Your MongoDB collection changed 2 minutes ago. Your agent is still pulling from yesterday's snapshot. This is why most production RAG systems fail. There's a better approach: MindsDB is an open-source AI platform with a federated data engine that lets you query multiple data sources in real-time using SQL - without moving any data. Here's what makes it different: ↳ Your data stays in place. No ETL pipelines or data duplication ↳ Query Postgres, MongoDB, REST APIs, and more using consistent SQL ↳ JOIN across different sources in real-time with a unified interface ↳ Works with both structured and un-structured data And here's the best part: You don't even need to write SQL. Just describe what you want in plain English, and MindsDB converts it to SQL automatically. The system does all the heavy lifting. The breakthrough for AI agents is simple: When data updates at the source, your agent gets fresh results immediately. No sync delays. No stale embeddings. No custom code for each integration. You can literally write a SQL query that joins a Postgres table with a MongoDB collection and gets live results. This is what production AI applications need but rarely get. In this video, I give you a complete walkthrough of what we just discussed and how to actually do it. Make sure you watch this till the end. I've shared the link to MindsDB's GitHub repo in the next tweet!

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Back in February, Paul Renner called for a moratorium on AI data centers in Florida. He was right. These massive AI data centers threaten our power grid, drain our water, raise costs on families, and hand Florida’s future to Big Tech. Florida First means people first. Stand with Renner. Stop the AI data center takeover. #BigTechByron #DataCenterDonalds #BankFraudByron

Back in February, Paul Renner called for a moratorium on AI data centers in Florida. He was right. These massive AI data centers threaten our power grid, drain our water, raise costs on families, and hand Florida’s future to Big Tech. Florida First means people first. Stand with Renner. Stop the AI data center takeover. #BigTechByron #DataCenterDonalds #BankFraudByron

Ann Vandersteel™️

10,568 views • 3 months ago