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Data normalization is the process of organizing data in a database to reduce redundancy and improve data integrity.
Data normalization involves breaking down data into smaller, manageable parts to avoid duplication.
It helps in reducing data redundancy and inconsistencies, leading to improved data integrity.
Normalization also helps in optimizing database performance by reducing storage space and improving query efficienc...
Logical,verbal,quants
25 min easy question
C, c++ 1 hr easy code
What people are saying about Tech Mahindra
Yes, I am currently serving my notice period.
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I am using this time to wrap up my current projects and ensure a smooth transition for my replacement.
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My notice period is currently one month.
Notice period is one month
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Tech Mahindra interview questions for designations
It was a good experience
I am a data analyst with 5 years of experience in analyzing and interpreting complex data sets to drive business decisions.
5 years of experience in data analysis
Skilled in analyzing and interpreting complex data sets
Strong ability to drive business decisions through data-driven insights
I applied via Job Portal and was interviewed in Jul 2023. There were 2 interview rounds.
You can add months to the current date in SQL using the DATEADD function.
Use the DATEADD function in SQL to add months to the current date
Specify the number of months to add and the date part (in this case, 'month') as parameters
Example: SELECT DATEADD(month, 3, GETDATE()) will add 3 months to the current date
I applied via Naukri.com and was interviewed in Apr 2023. There were 4 interview rounds.
MySQL , Power Bi, Tableau, Advance Excel, Python.
MySQL Coding from in data base Workbench 8.0
I applied via Company Website and was interviewed before Feb 2023. There was 1 interview round.
Outliers are data points that significantly deviate from the rest of the dataset.
Outliers are extreme values that are either much higher or lower than the majority of the data.
They can occur due to measurement errors, data entry mistakes, or genuine anomalies in the data.
Outliers can have a significant impact on statistical analysis and may need to be identified and handled appropriately.
For example, in a dataset of st...
Outliers are dealt with by identifying them, understanding their cause, and deciding whether to remove or transform them.
Identify outliers using statistical methods like z-scores or box plots.
Understand the cause of outliers by examining the data and considering external factors.
Decide whether to remove outliers if they are due to data entry errors or transform them if they represent valid but extreme values.
Use techni...
I applied via Approached by Company and was interviewed before Oct 2022. There were 2 interview rounds.
I applied via Company Website and was interviewed in Dec 2021. There was 1 interview round.
1 Interview rounds
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