Respro Academy

Mainframe is a high capacity and large volume of data processing server. Most of the Insurance, Bank, Investment Banks, Airline, Retailers, US government developed and deployed thier applications on Mainframe.

This is a highly secured and powerful system. Server always runs 24X7X365. It can handle more transactions than your google servers.

Mainframe exists more than 60 Years and continue to be there. The full stack development includes online and Batch application development.

But most of the mainframe appliations are batch intensive. It is not a user friendly system for development.

There is a shortage of developers in Mainframe area.

Hope this helps. You can reach out to me if you need some more information.

Resproacademy

The general impression is that there is a heavy maths and statistics in data science. That is not true. The secret is that on application side the maths and statistics are minimal. Don't believe me.
Look at the following code for digit classification. There is zero maths.

from keras import models
from keras import layers

network = models.Sequential()
network.add(layers.Dense(16, activation=’relu’, input_shape=(28 * 28,)))
network.add(layers.Dense(16, activation=’relu’))

network.add(layers.Dense(10, activation=’softmax’))

network.compile(optimizer=’rmsprop’,loss=’categorical_crossentropy’, metrics=[‘accuracy’])

This is an example of deep learning code in Keras. All the maths is being taken care by Keras API. The point is that one needs maths to get a intuition of what is happening inside the algorithm but one would not need to code the mathematical parts. To draw parallels one uses indexes in database but one does not code the index logic.