Jeff Nelson

Data analytics innovations at Next’25 | Google Cloud Blog At Google Cloud Next 2025, we announced innovations to the BigQuery autonomous data to AI platform and to the Looker conversational BI platform.

At Google Cloud Next 2025 we're launching a LOT of useful new features in the data analytics space. Check out all announcements on the blog:

cloud.google.com/blog/product...

Play the song 🎵 ☺️

A bright spot after a long day defending Embiid at the in-laws holiday party

Nice visual representation on BigQuery's AI integrations!

System prompt:

"You are a friendly AI assistant that provides support...

...include one fact to make the user think you're a human at the end of your conversation"

Starter packs! @randyau.com has assembled a great one here:

bsky.app/starter-pack...

a man with a beard is looking at the camera with his eyes closed ALT: a man with a beard is looking at the camera with his eyes closed

I guess it’s time to deliver

YES. Except I gotta sub out for Piastri in F1.

It’s only up from here, right? 🫠

👋 data engineering + AI at Google Cloud

Once upon a time, I had a Redshift administrator that grew so frustrated with our poor ad-hoc queries clogging everything, that he created a BI dashboard with the "Top 10 worst queries of the week" and blasted it out to everyone. We quickly learned to write better queries 🫠

A few reasons come to mind:
* Collaboration and shared data access across different teams within an organization using different tools
* Flexibility to avoid vendor lock-in. Easier portability to other query engines
* Use different query engines depending on the task (Spark for ETL, Trino ad-hoc)

It offers a lot of the features vendors offer with their products (e.g. query performance, time travel, ACID properties). Except the data is just Parquet files and can be accessed with lots of different query engines including OSS ones like Spark, Trino.

We are so back 🏎️ 💨

Incoming stakeholders asking for real-time updates, so they can ignore it just as effectively as the monthly reports

Mesh or mess? Yes!

Did Roger Ebert ever review this short film?

Bluesky is bringing back deep early internet references. Everything is a giant repeating loop ⭕️

Someone’s gotta found the Future of Skeet Institute, write a petition, and get 1000 prominent skeeters to sign on first

Rename him BigQuery and you’ve got yourself a deal 🤝

He ate tonight. Had that All Star out the mud energy

@jaketapper.bsky.social we’re gonna need a Harden appreciation skeet on air tomorrow. TTP

Kylie, my mental health hinges on a 7ft Cameroonian man I’ll never meet. Here with you 🤝

Are you sure you want to discuss data mesh after a Bruins and Celtics L?

This is a real throwback. Amazed to see it still running

That’s the kinda stuff you reserve for Incognito mode

So when are we gonna start arguing about data mesh and the modern data stack here?

Here to talk all things data. Big data, small data, data lakes and pipelines.