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I applied via Naukri.com
ALL returns all rows, UNION removes duplicates, DISTINCT returns unique rows.
ALL: includes all rows, even duplicates
UNION: combines two result sets and removes duplicates
DISTINCT: returns only unique rows
Example: SELECT name FROM table1 UNION SELECT name FROM table2;
Example: SELECT name FROM table1 UNION ALL SELECT name FROM table2;
Example: SELECT DISTINCT name FROM table1;
Convert dictionary to list and sort in ascending order
Use the items() method to convert dictionary to list of tuples
Use the sorted() function to sort the list of tuples
Use a lambda function to sort by dictionary values
Convert the sorted list of tuples back to a dictionary using dict() method
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I applied via LinkedIn and was interviewed in Aug 2023. There was 1 interview round.
To rename a column in PySpark, use the 'withColumnRenamed' method.
Use the 'withColumnRenamed' method on the DataFrame
Specify the current column name and the new column name as arguments
Assign the result to a new DataFrame to store the renamed column
Multiprocessing involves executing multiple processes simultaneously, while multithreading involves executing multiple threads within a single process.
Multiprocessing utilizes multiple CPUs or cores to execute multiple processes concurrently.
Multithreading involves creating multiple threads within a single process to execute tasks concurrently.
Processes in multiprocessing have separate memory spaces, while threads in m...
posted on 20 Dec 2024
Window functions are used to perform calculations across a set of table rows related to the current row.
Window functions are used in SQL to perform calculations within a specific window or subset of rows.
They allow you to perform aggregate functions like SUM, AVG, COUNT, etc. over a specific range of rows.
Examples include ROW_NUMBER(), RANK(), DENSE_RANK(), and NTILE().
posted on 4 Oct 2023
I applied via Job Fair and was interviewed in Apr 2023. There were 2 interview rounds.
Data Analysts are responsible for collecting, processing, and analyzing data to help organizations make informed decisions.
Collecting and organizing data from various sources
Cleaning and processing data to ensure accuracy and reliability
Analyzing data to identify trends, patterns, and insights
Creating visualizations and reports to communicate findings
Providing recommendations based on data analysis
Collaborating with st...
Skills needed for data analyst include strong analytical skills, proficiency in data analysis tools, programming knowledge, and communication skills.
Strong analytical skills to interpret complex data sets
Proficiency in data analysis tools such as Excel, SQL, Python, R, etc.
Programming knowledge to manipulate and analyze data effectively
Communication skills to present findings and insights to stakeholders
posted on 13 Apr 2024
posted on 16 Oct 2023
I applied via Campus Placement and was interviewed before Oct 2022. There were 7 interview rounds.
Aptitude test was quite good if we are good at basics
Group discussion happened to eliminate most of the candidates, just we have to put our point forward boldly, we can succeed
Coding test was but hard, they asked algorithms for searching and sorting techniques with code, OOPs concept was emphasised
Again there was a coding test, this time few coding related questions are given like the hacker rank and hacker earth problems
I applied via Campus Placement and was interviewed before Mar 2023. There was 1 interview round.
Complete discuss about college project
based on 1 review
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