What is Data Engineering ACID?

Data Engineering ACID is a weekly drop of top 3 trends and hacks in data engineering by leading tech companies . Every week our engineering team at e6data, shares way too many cool Reddit, Twitter, Hackernews threads, Github repos, and blogs from the internet across our Slack. We read many, we experiment some, and bring the top 3 from them to you.


Inside each issue

Curated stories
Most debated releases and opinions of the week centred around performance, cost, and vendor lock-in challenges in data engineering at scale. Could be any of the below:

  1. Github repo on any new project, benchmarks

  2. Reddit, Hackernews, Twitter thread on any new technology, opinion, and an occasional meme

  3. Blog by any engineering team on architecture deep-dives, war room stories, and hacks.

Community Signals
CFPs worth submitting, meetups we’re hosting or attending, new products that need more eyes, and the occasional swag.

Who’s behind it?

e6data’s engineers and product marketing team, with contributions from: Harshit Jain, Ishika Mittal, and Fredson Mario Lewis.

And always co-written with AI.

Join our party with 1k others at Data Engineering ACID. It’s always free.

User's avatar

Subscribe to Data Engineering ACID

For data engineering at scale- top 3 weekly trends and hacks by leading tech companies

People

e6data is a lakehouse compute engine, built for complex, high-concurrency SQL analytics and AI workloads: 10x faster, 1/3rd costs, zero data movement