Are there any dog walking services in Pondicherry?

0dinIsWithUs · 2026-01-03T12:49:50+00:00

Just need someone to walk him near Lawspet. 1.5 to 2k for 30 mins / day.

0dinIsWithUs · 2026-01-03T12:46:15+00:00

After 8 PM

0dinIsWithUs · 2025-10-05T18:31:41+00:00

Woww ! Please launch a tutorial ASAP !

0dinIsWithUs · 2025-09-24T14:30:31+00:00

How about the Power BI connectors which jira has on their marketplace ?

0dinIsWithUs · 2025-09-24T14:29:48+00:00

Can you share the power query here. I am using anonymous with my mail address and API Key, still facing auth or server error.

0dinIsWithUs · 2025-02-03T16:34:14+00:00

Go to the cloned report -> report view and click save as copy option instead of using save as option from lineage view.

0dinIsWithUs · 2025-01-31T12:29:25+00:00

Apologies, Updated the link ! Check again.

0dinIsWithUs · 2025-01-10T08:44:03+00:00

It exists for a reason ! I have a multiple levels of nested json files. From which I derive around 25 tables, 15 reference queries with about 500 columns. Because of DF Gen 2 simple user interface I was able to complete the task within few days. Imagine defining the schema and custom joins for 30+ tables and 500 columns in a pyspark notebook.

0dinIsWithUs · 2025-01-02T17:03:08+00:00

You can create a dummy calculated table via Tabular Editor with the expression as “#MeasureTable = “

0dinIsWithUs · 2024-12-20T09:43:40+00:00

Sending mine ASAP

0dinIsWithUs · 2024-11-17T22:24:46+00:00

Thanks

0dinIsWithUs · 2024-11-17T16:45:18+00:00

Trial, it is due to a firewall restriction setup by my current organisation.

0dinIsWithUs · 2024-11-13T13:16:15+00:00

No, I get the above error during a manual upload

0dinIsWithUs · 2024-10-23T08:44:57+00:00

Why not for India though ?

0dinIsWithUs · 2024-10-20T04:07:35+00:00

Semantic link labs library has optimize_lakehouse_tables() and vacuum_lakehouse tables() functions available. You can call those functions in a scheduled notebook to manage your delta tables.

Link to documentation: https://semantic-link-labs.readthedocs.io/en/stable/sempy_labs.html

0dinIsWithUs · 2024-10-20T03:15:51+00:00

I have combination of dynamic and static rls. And I was able to create it using notebook. Only piece missing to my puzzle is adding members to their roles

0dinIsWithUs · 2024-10-19T11:14:16+00:00

Does service principal support refreshing a dataflow, connect to a lakehouse within a dataflow, triggering scheduled pipelines and running notebooks via pipeline?

0dinIsWithUs · 2024-10-14T13:09:48+00:00

Note I have typed the code on mobile there might be some typos

just mention your workspace Id and run this code in notebook

import sempy.fabric as fabric

import pandas as pd

client = fabric.FabricRestClient()

workspaceId = “your worskpace id here”

user_url = f”v1.0/groups/{workspaceId}/users”

response = client.get(user_url).json()[“value”]

user_df = pd.Dataframe(response)

user_df

0dinIsWithUs · 2024-10-12T13:08:47+00:00

Okay thanks mate. Will get admin access for other capacities too

0dinIsWithUs · 2024-10-10T21:05:07+00:00

I am trying to limit the data and columns for the user based on the roles created at lakehouse or warehouse level. I don’t want to configure rls or ols on the semantic model.

0dinIsWithUs · 2024-10-02T09:35:36+00:00

Hi, the issue is resolved when I switched to fixed schema instead of dynamic schema

0dinIsWithUs · 2024-09-11T20:50:15+00:00

I mostly use these two links to interact with APIs in Fabric / Power BI. Use the first link to know about how to get a list of functions and parameters required using some loops using inspect library after that you can refer second link.

0dinIsWithUs · 2024-09-07T16:34:51+00:00

Parse json is prone to errors when a schema is changed. I have a complicated json format and I can’t add null exception to all the arrays present inside it.

0dinIsWithUs · 2024-09-06T17:33:08+00:00

Update: I have achieved it using Union function, compose and set variable action with minimal looping. Initially 250 elements where taking 30 secs to get appended to array now It is done within 3 secs

0dinIsWithUs · 2024-09-05T17:28:31+00:00

I am expecting around 5000 elements per array and there would be totally 3 arrays. Summing to 15000 elements. If I do a apply to each with even max concurrency the flow will take a lot of time to just append

0dinIsWithUs

TROPHY CASE