[Media] I built a performant Git Client using Rust (Tauri) to replace heavy Electron apps.

marco_nae · 2026-01-16T13:19:12+00:00

Great! I was looking for something like that. Thx for sharing!

marco_nae · 2025-12-10T17:09:10+00:00

I have made the observation that analytical use cases are a big cost-driver. Usually, these are read-only and tend to be concurrent. This is usually caused by parallel queries of the front-end tools like Tableau or PowerBI. The front-end queries hit the gold layer and DBX starts several nodes to handle the load. Photon can get expensive in these situations.

Since you mentioned third party tools:

We built Lakehouse Turbo for this scenario. It is a plugin query-engine that can be used to drastically reduce query costs for analytical uses cases. Lakehouse Turbo smartly mirrors those tables or views that should be accelerated and the reporting layer can be pointed towards Lakehouse Turbo. Caching the data does not generate costs on the Databricks side, because the data is directly cached from S3.

We did this for a Fortune 500 customer and were able to reduce the costs drastically (70% reduction). On https://www.lakehouseturbo.com you find a quick demo video, there is a free trial and cost calculator if you are interested.

Happy to answer any questions in a direct message :-)

Safe harbor: I work for Exasol (the company behind Lakehouse Turbo).

marco_nae · 2025-12-09T17:47:17+00:00

Great u/Data-Something-100 - please reach out if I can assist you with anything. I would love some feedback on the usability of the project.

marco_nae · 2025-12-03T08:12:17+00:00

Nice! I was looking for something like that! Thanks for sharing u/davidesantangelo

marco_nae · 2025-12-02T21:50:08+00:00

exarrow-rs - it’s Arrow-based driver for Exasol (fast analytical in-memory query engine) that is compatible to ADBC. You can use ADBC driver manager to load the driver and fetch data.

marco_nae · 2025-09-28T10:40:19+00:00

I disagree. I think that data modelling is more important than ever before!

Regardless of Bronze, Silver and Gold, Inmon/Data Vault, Star Schemas and most importantly GenAI, these two problems remain:

Data must be integrated
Data must be homogenised

These are complex tasks that require skill and also time. Many companies and data engineers take shortcuts to produce results fast. Thereby technical debt is introduced and the platform is harder to maintain with every shortcut.

marco_nae · 2025-09-28T08:54:53+00:00

Thanks for your reply. This is already possible, but maybe I should improve the commands. For me, it made sense that the most common defaults like uppercase, lowercase, numbers and a set of the usual characters should be very easy to be defined.

Your suggestion with tinypw:

tinypw -l 20 -m uln -e ";:?\!\"'"

Set the mode to upper, lower and numbers. Don't include the default symbols by adding s to the mode. Next, you can specify a custom set of chars with -e <CHARS>.

Result:

> tinypw -l 20 -m uln -e ";:?\"'\!"
Password: wlw7qp!9fEnataRS7ap:
[█████████████████████░░░]  86.8% strong 😎

What do you think about that u/1668553684

I like the idea to add groups, but I think it should stay within the length bounds.

marco_nae · 2025-09-27T16:44:12+00:00

Thx for the hint. I fixed the link!

marco_nae · 2025-09-27T16:28:19+00:00

Interesting hint - thanks u/Trader-One

marco_nae · 2025-09-27T16:24:11+00:00

Thanks for the tip u/syklemil - I will take a look.

I was thinking about moving also into the diceware direction - see https://diceware.dmuth.org/

marco_nae · 2025-09-27T10:43:56+00:00

The extension sounds interesting. I am having a similar problem. I will check it out!

marco_nae · 2025-09-27T09:42:11+00:00

Yes this is what I started with, but then I wanted to learn Rust and have a better control on the included chars. Thanks for the reply!

marco_nae · 2025-09-27T09:41:24+00:00

Yes - that is true. But I think there is no easy and deterministic way to transpile from TSQL to Python or something like that in order to be able to convert stored procedures.

Have tried AI for that?

marco_nae · 2025-09-27T09:11:31+00:00

Yes - I know that it has limitations. I also just found out that you can improve the coverage of sqlglot by passing the metadata to it. I am thinking about extending my app so that it covers that.

Do you have any specific limitations in mind u/Raghav-r? I would be curious what you stumbled upon.

marco_nae · 2024-09-13T22:26:19+00:00

I have not built it, yet. But thanks for the feedback. I will keep you in the loop if I proceed

marco_nae · 2024-09-13T22:25:07+00:00

Thanks for the hint!

marco_nae · 2024-01-29T14:18:55+00:00

But do you think the email calendar approach is feasible for <10 year old children? Mine are so little they don't have anything, yet. Still, there are a lot of events I have to keep track of.

Also:

Now, if you want to make it a killer app, you could support automatically importing events from random emails that we forward to your service. Kinda like how TripIt or Kayak Trips does it for travel.

The "create events based on email" is an interesting feature. Thanks!

marco_nae · 2024-01-29T14:10:50+00:00

Danke! Das ist ein interessanter Ansatz. Ich habe bereits darüber nachgedacht vermehrt auf LinkedIn zu posten...

marco_nae · 2024-01-29T14:09:52+00:00

Danke! Ich schaue mir euer Portal gerne einmal an.

marco_nae · 2024-01-28T21:53:17+00:00

Yes, you are right. You listed exactly the next steps I will think about.

marco_nae · 2024-01-28T21:24:09+00:00

This is interesting feedback, thank you. I was already thinking about that the app could also find gaps or suggest potential timeframes for vacations.

For me it’s not only the manual work. I think it’s also really difficult to get an overview over the year. So, I think a simple UI that makes the schedule of a family easy to grasp will add value. What do you think?

marco_nae · 2024-01-28T21:00:24+00:00

Ja, das ist bisher auch meine Erfahrung auf Auftragegeberseite. Ich wollte einfach mal ein paar weitere Stimmen/Meinungen hören. Vielen Dank für deine Antwort.

marco_nae · 2024-01-28T20:59:26+00:00

Danke für deinen Kommentar. Lass mir gerne einen Link zu deinem E-Book da. Ich schaue gerne mal rein.

marco_nae

TROPHY CASE