Senior Tableau Developer
Senior Tableau Developer Interview Questions and Answers
Q1. What is intial sql, how and when do you write catom sql in tableau, what is cat in sql...and some project related questions
Initial SQL is a feature in Tableau that allows users to write custom SQL queries to connect to data sources.
Initial SQL is used to execute SQL statements before the main query is executed.
Custom SQL can be written in Tableau to connect to data sources that do not have a built-in connector.
CAT in SQL stands for Concatenate and is used to combine two or more strings into a single string.
Project related questions may vary depending on the specific project and requirements.
Q2. Sql on window functions and partial on tableau
Window functions in SQL can be used for partial calculations in Tableau.
Window functions allow for calculations to be performed on a subset of data within a larger dataset.
These functions can be used in Tableau to create partial calculations, such as running totals or moving averages.
Examples of window functions include ROW_NUMBER(), RANK(), and LAG().
Partial calculations in Tableau can be created using table calculations, which can be based on window functions.
These calculat...read more
Q3. What is DDl and DMl Command
DDL stands for Data Definition Language and is used to define and manage the structure of a database. DML stands for Data Manipulation Language and is used to manipulate the data within a database.
DDL commands are used to create, alter, and drop database objects such as tables, views, indexes, etc.
Examples of DDL commands include CREATE TABLE, ALTER TABLE, DROP TABLE, CREATE INDEX, etc.
DML commands are used to insert, update, delete, and retrieve data from a database.
Examples...read more
Q4. Reduce cost of tableau access
Reduce Tableau access costs by optimizing licenses, utilizing server resources efficiently, and training users on best practices.
Optimize Tableau licenses by identifying and removing unused licenses or downgrading to a lower tier if possible
Utilize Tableau Server resources efficiently by scheduling extracts during off-peak hours and optimizing server performance settings
Train users on best practices to reduce unnecessary usage of Tableau features and improve efficiency
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