Filter interviews by
Clear (1)
I applied via Referral and was interviewed in Apr 2021. There were 3 interview rounds.
Live vs Extract in Tableau and why Extract is faster
Live connection directly queries the data source while Extract creates a static snapshot of the data
Extracts are faster because they reduce the amount of data transferred over the network
Extracts can be scheduled to refresh at specific intervals
Extracts can be compressed to reduce file size and improve performance
Yes, it is possible to update data in Tableau Extract.
Tableau Extracts can be refreshed to update data
Data can be added, removed or modified in the data source and then refreshed in Tableau
Extracts can be set to refresh automatically or manually
Relationships are used to connect tables in Tableau Prep while Joins are used to combine tables in Tableau Desktop.
Relationships are used in Tableau Prep to connect tables based on common fields.
Joins are used in Tableau Desktop to combine tables based on common fields.
Relationships are used to create a flow of data between tables in Tableau Prep.
Joins are used to create a single table from multiple tables in Tableau D...
Dashboard Actions are interactive elements that allow users to interact with the data on a dashboard.
Dashboard Actions are used to filter, highlight, or navigate to other dashboards or web pages.
Steps to apply Dashboard Actions include selecting the element to apply the action to, choosing the type of action, and configuring the action settings.
Examples of Dashboard Actions include clicking on a chart to filter the dat...
Use a parameter to filter data and create two separate tables, then combine them using a union.
Create a parameter to select the number of top and bottom rankings to display
Create a table for the top rankings using the parameter and the RANKX function
Create a table for the bottom rankings using the parameter and the RANKX function
Combine the two tables using a union
Add a column to differentiate between top and bottom ra
Sets are a collection of unique values while groups are a collection of related values.
Sets contain only unique values while groups can have repeated values.
Sets are used for filtering data while groups are used for aggregating data.
Sets are used in Tableau for creating custom fields while groups are used for creating hierarchies.
Example of a set: a set of customers who have made a purchase in the last month.
Example of...
Optimize data source, reduce number of rows/columns, use extracts, optimize queries, use filters.
Optimize data source by removing unnecessary columns and rows
Reduce number of rows and columns to only necessary data
Use extracts instead of live connections
Optimize queries by using custom SQL or aggregating data
Use filters to limit the amount of data being extracted
Large data extracts in Tableau are handled by optimizing data sources, using filters, and aggregating data.
Optimize data sources by removing unnecessary columns and filtering data before extracting.
Use filters to limit the amount of data extracted.
Aggregate data to reduce the number of rows and columns.
Consider using Tableau's data engine to improve performance.
Use incremental extracts to only extract new or updated da...
Top trending discussions
I applied via Naukri.com and was interviewed before Sep 2021. There were 3 interview rounds.
Entry level aptitude test
I applied via Walk-in and was interviewed before Sep 2021. There were 4 interview rounds.
Reasoning and English
Just a minute round about favourite movie
I was interviewed in Nov 2016.
Developed a Btech project on automated attendance system using facial recognition.
Developed a software application to automate the attendance process in educational institutions.
Implemented facial recognition technology to identify and mark attendance of students.
Used machine learning algorithms to train the system for accurate recognition.
Integrated the application with a database to store attendance records.
Provided ...
Code Pascal's Triangle
Pascal's Triangle is a triangular array of binomial coefficients
Each number is the sum of the two numbers above it
The first and last numbers in each row are 1
Can be implemented using nested loops or recursion
An abstract function is a function that has no implementation and must be implemented by its subclasses.
An abstract function is declared with the 'abstract' keyword.
It is used to define a template for its subclasses to follow.
It cannot be instantiated and must be implemented by its subclasses.
It can have abstract and non-abstract methods.
Example: abstract class Animal { abstract void makeSound(); }
Example: class Dog ex...
Abstract functions cannot be instantiated and must be implemented by child classes, while normal functions can be directly called.
Abstract functions have no implementation in the parent class, while normal functions do.
Abstract functions are declared with the 'abstract' keyword, while normal functions are not.
Normal functions can be called directly, while abstract functions must be implemented by child classes.
An examp...
Perfectionism and public speaking anxiety
I tend to be a perfectionist, which can sometimes lead to spending too much time on a task
I struggle with public speaking anxiety, but I have been working on improving my communication skills through practice and training
Capgemini is a global leader in consulting, technology services, and digital transformation.
Capgemini has a strong reputation in the industry for delivering high-quality software solutions.
The company offers a wide range of opportunities for career growth and development.
Capgemini has a collaborative and inclusive work culture that fosters innovation and teamwork.
The company has a global presence, providing exposure to...
Autocorrelation is the correlation of a signal with a delayed copy of itself.
Autocorrelation is used to identify patterns in time series data.
It is a measure of how similar a signal is to a delayed version of itself.
Autocorrelation can be positive, negative, or zero.
It is commonly used in signal processing, finance, and econometrics.
Autocorrelation can be visualized using a correlogram.
Heteroscedasticity is a statistical term that refers to the unequal variance of a variable across different levels of another variable.
It is a violation of the assumption of homoscedasticity in regression analysis.
It can lead to biased and inefficient estimates of regression coefficients.
It can be detected through residual plots or statistical tests such as the Breusch-Pagan test.
Examples include income and expenditure...
Data analysis is affected by various factors that can influence the accuracy and reliability of the results.
Data quality: The accuracy, completeness, and consistency of the data can impact the analysis.
Data sources: The reliability and relevance of the data sources used for analysis can affect the outcomes.
Data preprocessing: The way data is cleaned, transformed, and prepared for analysis can impact the results.
Data in...
posted on 3 Aug 2017
I was interviewed before Aug 2016.
I applied via Walk-in and was interviewed before Feb 2020. There were 4 interview rounds.
I applied via Approached by Company and was interviewed in Nov 2018. There were 4 interview rounds.
Some of the top questions asked at the Barclays Global Service Centre Senior Business Intelligence Analyst interview -
Assistant Vice President
716
salaries
| ₹0 L/yr - ₹0 L/yr |
Process Advisor
437
salaries
| ₹0 L/yr - ₹0 L/yr |
Senior Analyst
278
salaries
| ₹0 L/yr - ₹0 L/yr |
Assistant Manager
254
salaries
| ₹0 L/yr - ₹0 L/yr |
Analyst
238
salaries
| ₹0 L/yr - ₹0 L/yr |
HSBC Group
OneMain Financial
Wipro
TCS