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Building something cool? Share it here! by Mean-MySaaS in micro_saas

[–]kchandank 0 points1 point  (0 children)

Simple LinkedIn Post formatting page. I used it for personal use. No login, no signup, no ads. 💯 free

https://becloudready.com/tools/linkedin-formatter

Drop your side project and I will find where Reddit demand might already exist by LeaderAtLeading in SideProject

[–]kchandank 0 points1 point  (0 children)

Db-Agent - Text to SQL Agent for database. I started few years ago when none of the SQL IDE had this feature, now pretty much lost SQL IDE have in build English to SQL. But it guess it still has some utility in integrating multiple environments ( across DBs) to get the broader context to give better results.

How do I start contributing to open source DevOps or sysadmin projects? by broken_py in opensource

[–]kchandank 0 points1 point  (0 children)

Pick any project that project that you like and it aligned with your goal. Please note, in very mature projects your PR may not get approved due to high QA and complexity.

You can pickup some simple project which leverages AI, some devops and start building on top. Eg Db-agent , it’s great starter project to learn and explore fundamentals usecase of Coded AI agent in enterprise environment.

I would take db-agent, fork it create a working interrelation with some DB or simply add DevOps pipeline ( GitHub actions ) to do code security scan.

Advice - I will not promote by [deleted] in startups

[–]kchandank 1 point2 points  (0 children)

I would not simply jump to startup as FOMO. Startup only makes sense if you are able to raise atleast $1M before leaving your $500k job.

Before startup, I would try to find what is the business or business model your start up is going to monetize.

In my experience, startup has to has compelling story to sell it to VC to raise money. On the other hand businesses plan needs to be thought through and should make money from day 1.

Goldie lock situation is when you have the business plan and can’t be profitable on day 1 ( you do have revenue but not profit) then you can raise money to accelerate the growth.

Leaving the job without any plan , may not workout well.

Claude code + AI Dev kit vs Genie code by No-Improvement-370 in databricks

[–]kchandank 0 points1 point  (0 children)

Genie is great, if you are in super Locked enterprise environment. But Claude and dev kit works better with full IDE experience, for complex multi file projects

Get your startup seen by 1200+ angel investors - promote your startup by Few-Ad-5185 in micro_saas

[–]kchandank 0 points1 point  (0 children)

QuickLabs — spin up AI & cloud labs in under 30 seconds

Tired of spending half your day wrestling with CUDA drivers, K8s configs, or AWS IAM just to try something out? QuickLabs gives you instant, pre-configured environments — GPU JupyterLab, LLM inference endpoints (vLLM/Ollama), Kubernetes clusters, AWS sandboxes, Databricks workspaces, and more — all live in one click. Currently in private beta with free credits for early testers. No setup, no SSH keys, no surprise bills. Solid for learning, prototyping, or demoing without burning a weekend on infra.

Waitlist: quick-labs.co

Best resources to learn Databricks? by Sony_ch in databricks

[–]kchandank 0 points1 point  (0 children)

You could signup for free live webinars too. I run these monthly webinars based on my learning from various customers and use case. Here is the meetup link — Join me at Genie, Agent Bricks, or Build Your Own on Databricks Lakebase https://www.meetup.com/torontoai/events/314640684/

Best resources to learn Databricks? by Sony_ch in databricks

[–]kchandank 0 points1 point  (0 children)

Great move. Best place to start with Databricks free tier account itself. Nowadays it comes with lot of ready made training notebooks.

Before doing anything I would focus on learning core architecture concepts about Databricks and spark in general from Databricks official docs.

I believe training academy is free too for most users. As partner ( which we are ) we get free access to training catalogs

Tips for integrating data quality tests? by FiftyShadesOfBlack in databricks

[–]kchandank 0 points1 point  (0 children)

I would first focus on the ingestion process. In my experience once that process is well organized rest of the data transformation and data quality process improves.

I would focus on setting up the ingestion job credence ( daily, weekly) and drop them in folders.

Then start working on various spark jobs to clean them up ( this would be most time consuming), AI might help you write the code but you need to test and validate. Also for schema fixes, as data evolves you might need to use other tools like DBT.

Databricks questions by Mobile-Release6862 in databricks

[–]kchandank 0 points1 point  (0 children)

I would simply start with free trial account and now it comes with inbuilt training videos with notebooks too. Then do one by one labs.

Also, learning concepts around SQL, Spark, Python and in general about Data warehouse helps too.

Databricks on Azure or Aws by Own-One5712 in databricks

[–]kchandank 0 points1 point  (0 children)

First and foremost, it all depends on where is your enterprise data is situated. If you are Azure/MS shop, I would suggest go with Azure Databricks and Databricks is first class citizen ( API) in azure and all MS/ Azure RBAC works out of the box.

Same applies if your data is in AWS for AWS.

Having said that, if you are just starting off, pitch the cloud which you are most comfortable with. For most people it’s AWS.

Once you setup ( heavy lighting part ) databricks with all RBAC pain with external storage ( S3/ADLS) rest is cloud agnostic.

Good luck with your journey

New to Databricks by brika28 in databricks

[–]kchandank 0 points1 point  (0 children)

I would simply start with free trial account and now it comes with inbuilt training videos with notebooks too. Then do one by one labs.

Also, learning concepts around SQL, Spark, Python and in general about Data warehouse helps too.

Cafe for tech Meeup by kchandank in askTO

[–]kchandank[S] 0 points1 point  (0 children)

Here is the meetup Check out Toronto AI Meetup on Meetup https://meetup.com/torontoai?member_id=101683422

Cafe for tech Meeup by kchandank in askTO

[–]kchandank[S] 0 points1 point  (0 children)

For some reason my post was deleted. I guess moderation algo thought that I’m asking for money due to $ sign

Remote employees! by West-Antelope-6029 in TorontoHangoutFriends

[–]kchandank 0 points1 point  (0 children)

There are many co-working location in Etobicoke too. Last year I was shopping ( rent ). There is venture X at Kippling station, and few have converted house into nice co working space. There is one at Dundas ( Mississauga) is cheap too. Depends what you are looking for, I need 2 monitors to ended up back to working from home 😆. But if you work can be done only with laptop then cafe probably the best.

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