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Stanislav’s Big Data Stream

postgres can be your data lake (pg_lake) MongoBleed explained simply Event Streaming is Topping Out How AWS S3 serves 1 petabyte per second on top of slow HDDs What is Kafka Streams? Why Was Apache Kafka Created? kafka community spotlight: TAIWAN 🇹🇼 The Brutal Truth about Kafka Cost Calculators meet your new data lakehouse: S3 Iceberg Tables Coming soon
What To Expect?
Stanislav Kozlovski · 2024-07-28 · via Stanislav’s Big Data Stream

Reading time: 1 minute.

I post a lot on social media:

And people like it.

I’ve had people ask me:

Why don’t you post more often on your newsletter?

Can you share your content outside of social media? I want to reduce my usage because it’s too distracting and doesn’t help me be productive.

and I’ve asked myself:

Why does LinkedIn only allow me to post 1 image?

Why is LinkedIn’s character limit so low?

If I can summarize, the problems to solve are three-fold:

  1. Algorithm

  2. Distraction

  3. Platform Limits

As you know, my main newsletter - 2minutestreaming - is about posts that are strictly up to 2 minutes of reading time. (476 words)

It results in some very polished writing where I spend an absurd amount of time on such a small piece of content.

But on social media, I’m more lax. I write out to my heart’s content.

The truth is that the 2-minute format can be very limiting itself too.

But there’s value in longer-form content too!

I want to:

  • express free-form thoughts

  • interview experts in the industry

  • play around with video content

  • do polls and engage with the readers

And I do some of that on social media. But it’s not the best place for it.

So this is why I’m creating BigDataStream.

This newsletter will do a few things:

  1. post original tech content, with a focus on the Big Data space and Apache Kafka

  2. give me a medium to talk longer form and build a tighter community

  3. give you a medium to follow my content without the distractions of LinkedIn/X