Data Warehousing
Top 25 ETL Testing Interview Questions & Answers
Following are frequently asked questions in interviews for freshers as well experienced ETL tester and...
numpy.arange() is an inbuilt numpy function that returns an ndarray object containing evenly spaced values within a defined interval. For instance, you want to create values from 1 to 10; you can use numpy.arange() function.
Syntax:
numpy.arange(start, stop,step)
Example:
import numpy np np.arange(1, 11)
Output:
array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10])
Example:
If you want to change the step, you can add a third number in the parenthesis. It will change the step.
import numpy np np.arange(1, 14, 4)
Output:
array([ 1, 5, 9, 13])
Following are frequently asked questions in interviews for freshers as well experienced ETL tester and...
Tableau Desktop Workspace In the start screen, go to File > New to open a Tableau Workspace The...
Data can be organized and simplified by using various techniques in Tableau. We will use the...
What is ETL? ETL is a process that extracts the data from different source systems, then...
Data Warehouse Concepts The basic concept of a Data Warehouse is to facilitate a single version of...
What is Data Warehousing? A Data Warehousing (DW) is process for collecting and managing data from...