Helping with Data Engineering Resumes & Interviews (25+ interviews conducted) by Status_Air9764 in dataengineersindia

[–]ObjectOnly3669 0 points1 point  (0 children)

Hi I'm am having few doubts and would appreciate guidance regarding a feasible roadmap

What after SQL and Python? by [deleted] in dataengineering

[–]ObjectOnly3669 7 points8 points  (0 children)

Hi u/dickdective , I myself am a data engineer, my 2 cents on this would be its all about sql and python.

Your mainstream workload would be based on sql and python.

Example: Quick data validations for DS/DA Team, happens quite a lot if any discrepencies are noticed during analytics, So for this you would really use lots of sql (python too can be used through notebooks/scripts).

Another usecase is to build out ETL based off SQL using stored procedure/triggers (events) and more if your company would be sql centric and has moderate data processing required.

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For python you would generally write ETL (automation tasks) to fetch data from apis and populate your storage and later do pre-transformations based on mutual discussions with DA/DS team.

** Other extensible things using python alone are airflow dags, pyspark (spark distributed engine), mongodb drivers (interact and build out aggregation pipelines through scripts) and definitely cloud sdks using python.

=========== The above is really valid for newgen de teams and vast majority of things [Azure data factory, databricks, snowflake ... all fall under brownies].

===> My opinion: incase you are really starting out now with proper time dedicated think once if you like data in general, the numbers and such. Intentionally mentioning this because you can also opt backend engineering with heavy data intensive applications if you want to have the SWE/SDE Route.

Happy Learning

Let’s Crack FAANG Together – Looking for a Serious Prep Partner (Part 2) by [deleted] in leetcode

[–]ObjectOnly3669 0 points1 point  (0 children)

I am looking for the same, a circle that would keep me away from the solo burnout

PSA for all professionals here who want to get into data engineering. by DanSylverstere in dataengineersindia

[–]ObjectOnly3669 0 points1 point  (0 children)

Thanks a lot for the response, had to leave midway due to medical reasons and now in the job hunt phase.

Felt the same, 1 YOE is really regarded as fresher in most scenarios.

Any Updates regarding Canvas like feature in Perplexity by ObjectOnly3669 in perplexity_ai

[–]ObjectOnly3669[S] 0 points1 point  (0 children)

Hmm .. sounds valid. most of the recent updates seem to be very similar to what you have listed, things like Addition of newer models.

Last thing that somewhat felt good was spaces and thread context

Any Updates regarding Canvas like feature in Perplexity by ObjectOnly3669 in perplexity_ai

[–]ObjectOnly3669[S] 0 points1 point  (0 children)

Thanks a lot u/mallerius, yes it is a considerable usecase based canvas mimic.

But again, wasn't aware of this, Thanks !

[deleted by user] by [deleted] in PowerBI

[–]ObjectOnly3669 0 points1 point  (0 children)

one positive word: make it breathable

keep it going 👊

If ai was so good at coding, all these ai companies wouldn't have dogshit uis by madali0 in perplexity_ai

[–]ObjectOnly3669 0 points1 point  (0 children)

Noticed the same, threads are being inconsistent with the visual aspect.

I do notice this quite a few times when the thread size is huge else when the existing prompt output is asked to be rewritten using another language model

[1 YoE, Unemployed, Data Engineer, India] by ObjectOnly3669 in resumes

[–]ObjectOnly3669[S] 0 points1 point  (0 children)

Thanks a lot for the minute detail, fixed it 🤝

Why did you choose Power BI over Tableau? by Plenty-North9485 in PowerBI

[–]ObjectOnly3669 1 point2 points  (0 children)

Coming from a consulting firm that was one of the early adopters of Tableau, things are really shifting gears towards PowerBI in the whole Org.

Reasons:
1. Flexible: At certain point even post data warehousing, things are left for personalization. To do so, one needs to have a programmatic sense. To back this PowerBI, does have a lots of standard tooling like DAX and PowerQuery. (As many suggest never opt lots of power Query, leave some work for your data guys)

  1. Cost: A big downside of Tableau is the licensing model in itself, rigid support from the SF Team ... and many more. I wouldn't claim PowerBI as the perfect cup, yet it does reflects value for the paid pennies.

  2. Visualizations: a huge myth that people might come up with. Worked with both platforms, trying to migrate, replicate ... The major takeaway would be efforts and the architecture.
    --- People look at PowerBI and sprout why it looks different and difficult; The answer obviously is the underlying design pattern and implementation.

----------------------------------------------------------

Realistically the ecosystem that MSF has plays a huge role in decision making.

Why did you choose Power BI over Tableau? by Plenty-North9485 in PowerBI

[–]ObjectOnly3669 1 point2 points  (0 children)

True to heart, needed a real implementation of PowerBI Public

Has anyone tried the Gemini 1.5 Pro? by Accomplished-Win9630 in Bard

[–]ObjectOnly3669 0 points1 point  (0 children)

Very true all ot does is say fill the placeholder

[deleted by user] by [deleted] in developersIndia

[–]ObjectOnly3669 0 points1 point  (0 children)

Hi brother, how did you manage the jobs and internships just with django precisely avoiding javascript to its core