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RLS in Power BI stands for Row-Level Security.
RLS allows you to restrict access to certain rows of data based on the user's role or permissions.
It helps in ensuring that users only see the data that they are authorized to view.
RLS can be implemented by creating roles and defining filters based on user attributes or roles.
For example, you can use RLS to restrict a sales manager to only see data related to their region.
Use regex to find dates in Python strings.
Import the re module in Python for regex operations.
Use the re.findall() function to find all matches of a regex pattern in a string.
Create a regex pattern to match dates in various formats, such as 'MM/DD/YYYY' or 'YYYY-MM-DD'.
Example: regex_pattern = r'\d{2}/\d{2}/\d{4}' will match dates in 'MM/DD/YYYY' format.
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posted on 3 Apr 2024
I applied via Company Website and was interviewed before Apr 2023. There was 1 interview round.
Associate
501
salaries
| ₹4.2 L/yr - ₹12.8 L/yr |
Senior Associate
439
salaries
| ₹4.7 L/yr - ₹15 L/yr |
Assistant Manager
287
salaries
| ₹6.9 L/yr - ₹18.8 L/yr |
Senior Assistant
208
salaries
| ₹3 L/yr - ₹9 L/yr |
Manager
127
salaries
| ₹12 L/yr - ₹35 L/yr |
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