Difference between drop, truncate and delete statement in Oracle SQL

It’s always better to use more impactful words on your resume that the cliché “responsible for this”. Its more effective to use a variety of Action words or Verbs. Below are the impactful words that one can include on their resume. If you improved a process: Re-engineered Overhauled Restructured Transformed To show leadership: Guided Headed Oversaw Organized To show personal award/achievement: Recognized for Succeeded in Earned Won

Hello Everyone!!! I hope you are safe and sound :) I am going to keep this article short and crisp. I traveled by: Air Asia | Hyderabad to Bangalore | July 18th 2020 3 things are needed- e-pass from the destination state, boarding pass, ID proof One has to have…

Difference between Static set and Dynamic set in Tableau Desktop explained! Click here to go back. Do Clap if you found this useful :)

Difference between Discrete and Continuous Fields in Tableau Desktop explained! Note: Do not get confused between discrete/continuous versus dimension/measure. Dimensions can have both green and blue pills (if they are cont. dimension and discrete dimension respectively). While its true that dimensions are mostly discrete and measures are mostly continuous, the blue and green colours only hold for discrete/cont property and not dimension/measure property.

Difference between Joining and Blending in Tableau Desktop explained. Note: Cross database (DB) join is used when you join tables which are in 2 different databases. Google Analytics does not support Cross DB join. In this case, we use blending. Blending is useful if: Cross DB join is not supported. Tables have different level of detail. (here, join makes duplicate data hence we use blending) Data needs cleaning. When data is large, blending is faster.

Many blogs explain these topics separately but not many explain the difference between them. In simple words: Variance tells us how much a quantity varies w.r.t. its mean. Its the spread of data around the mean value. …

Hey there! This is my first blog. I hope you like it :) This project implements a neural network on tabular data. It is called Deep Astronomy (Deep learning for astronomy). Practicing during learning works best for me. …