Mentally I’m still at JDK 8 and 11. 23! Image borrowed from LinkedIn
What would it take for people on LinkedIn to stop posting about Deepseek? I think we should shut it down for a few days and see if people care about it. Most are chasing the trend and spewing random posts.
How would this integrate? Perhaps enhancing the Dynamic tables?
BYOC streaming is so hot right now. Rumors swirling around a potential $1.5B acquisition of Redpanda by Snowflake.
It’s telling how AI as an industry is progressing when you see the people freaking out about Deepseek are mostly VCs.
Found this comprehensive guide to AI and how to make sense of the various concepts. www.leverage.to/learn/dev/ai...
The 6 AI Engineering Patterns In 2025
Learning how to build AI powered products
leverage.to
Tomorrow is restart your Apple TV+ subscription for Severance Season 2 day. Also, maybe catch Silo. And re watch Slow Horses. It’s going to be a long work day sigh.
Onehouse with their Compute Runtime across table formats. It seems like a good direction but I’m curious if those benchmarks are accurate. 30x query perf, 10x faster writes, I wish there was a demo or something to showcase these. www.onehouse.ai/blog/introdu...
Introducing Onehouse Compute Runtime to Accelerate Lakehouse Workloads Across All Engines
Learn how Onehouse Compute Runtime delivers an independent, universal foundation to accelerate queries 2-30x and reduce cloud infrastructure bills 20-80% with adaptive workload optimizations, serverle...
onehouse.ai
Tobiko acquired Quary: tobikodata.com/tobiko-acqui... The transformation game is back on again
Tobiko - Tobiko Acquires Quary: Evolving the Gold Standard for Data Engineers
tobikodata.com
To whomsoever it may concern: Acquisitions are great. Integrations are hard. Good luck.
How AI is messing up things across the board Also, some things could be a Slack message than an email
Anytime I open LinkedIn it’s either - Random person with a take on AI, usually hyping - Someone talking about random topics like why is Test Driven Development - At least one reference to Clean Code I can’t imagine how that platform is useful to anyone who wants to get an idea of the industry.
Most companies need a better backend API than anything close to AI or LLMs. Just do the basic thing right first. You don’t need to jump to the fancy objects.
2025 is the year of realizing that hourly batch or micro batch is sufficient over continuous processing. The trick is to ask what your stakeholders actually expect to happen and then build accordingly.
Happy New Notebook Day. My first MUJI notebook. The pen has been great! Got these on my trip to Seoul.
Happy new notebook day!
My 2025 New Year’s Resolution is to tell everyone in the Data and AI space that you can’t build good AI without quality data. Focus on fundamentals rather than fancy.
Looks like PySpark, Ray, and Dask have a competitor - Bodo. Has anyone tried it yet? This is the claimed execution time. github.com/bodo-ai/Bodo
I'd be surprised if it gets practical usage in the next 10 years.
Is quantum computing real? Or is that a fantasy future tech of my youth
I find it strange that people still think Hudi and Delta have a chance despite the fact that Iceberg has clearly won the table format race. If all major vendors and platforms are putting their bets on one format, why wouldn't an org move to it or stay in it?
And just like that, we all stopped doing Advent of Code this year.
The most important task to do after going home from a conference: Unsubscribe to all the vendor emails that you are getting because you scanned your badge for socks.
There’s Generative AI and then there Adversarial AI. Anyone have a good source / reference to understand and grasp the latter? #AWSreInvent
This article is a really good summary and detail about S3 Tables. dataengineeringcentral.substack.com/p/aws-s3-tab...
dataengineeringcentral.substack.com