hoshang_mehta
Ask HN: How to setup static IPs for Databases?
Im trying to connect AlloyDB to my app and need to setup static IP addresses or an SSH tunneling mechanism. I'm new to this. Anyone who can help me understand the process?
Show HN: Data Onions- Launching my Substack newsletter for data practitioners
Ask HN: How are you using AI for Data Analytics today?
Re:Data Onions Substack
on Wednesday December 06, 2023 @08:46AM (#38543775)
Hey folks!
I just launched my Substack Newsletter - "Data Onions"
I write about everything Data, Products & People.
If you like reading my first few posts, please subscribe.
Data Onions Substack
Show HN: Data notebook with 150 datasources – SQL and No-code
Open source react spreadsheet component?
Hey HN! I'm looking for an open-source or startup friendly excel-like component that could be built with react.Any recommendations?
Re:Pre-baked SQL Templates for data teams
on Saturday November 25, 2023 @12:56AM (#38411537)
Hey HN- Here are some templates which cover a variety of data use-cases across Product, Sales, Marketing, Customer & Finance.
Is there a specific template you'd want us to add here?
Pre-baked SQL Templates for data teams
Re:How do you version control and reproduce SQL queries across data en...
on Friday November 24, 2023 @04:39AM (#38402133)
That makes sense!
We're trying to build something along these lines with Airbook (https://www.airbook.io) and we're looking for feedback for the same.
Would anyone be willing to connect?
Re:Show HN: Airbook – data analytics on a Notion-like interface
on Friday November 24, 2023 @04:34AM (#38402099)
Hey Hacker News,
Airbook is the fastest way to collaboratively build and share data insights across 150+ data-sources using SQL or No-code- in one place.
Almost like Notion but tailor-made for analytics.
We would love to have you try it out - https://www.app.airbook.io/signup
Best, Hoshang
Re:How do you version control and reproduce SQL queries across data en...
on Friday November 24, 2023 @03:46AM (#38401829)
Got it. Do you have a way to store them as metrics and let your business teams reproduce metrics on their dashboard?
How do you version control and reproduce SQL queries across data environments?
Do you currently have a way to version control and reproduce metrics/SQL queries across different data environments without losing out the underlying business logic & definition?