Road to Big Data testing(Cover all Prerequisite)
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Road to Big Data testing(Cover all Prerequisite)

cover all prerequisites to start career in big data testing
4.2 (5 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
507 students enrolled
Last updated 1/2016
English
Current price: $10 Original price: $20 Discount: 50% off
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Includes:
  • 4.5 hours on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What Will I Learn?
Students will be ready to start career in Big data testing as all prerequisite are covered over here
Students can apply database and scripting knowledge in real time pruject
View Curriculum
Requirements
  • Must have access to Unix machine(Good to have Ubuntu setup) and Oracle database
Description

Section 1: Basic to Advance SQL

  • While testing big data application, we have to play with huge amount of data every data
  • Which could be raw data or processed data.
  • To work with data in bigdata testing we will have to write and execute lot of queries in
  • SQL is a pre-requisite to learn HiveQL

Section 2: Python

Python is a powerful, flexible, open-source language that is easy to learn, easy to use, and has powerful libraries for data manipulation and analysis. Python is a popular, general-purpose programming language with an emphasis on being readable and allowing programmers to use fewer lines of code to accomplish tasks than in older languages. Libraries such as NumPy, SciPy, and Matplotlib make it useful for scientific computing.

Python is an excellent tool for data analysis for four reasons:

  • Open source
  • Speed
  • Support
  • Scope

Section 3 Big Data demands better shell skills

Complete Big data architecture would be setup on Unix machine, If we have prior understand of Unix and Shell script, it will be easy for us to work smoothly

This course if very useful for professional who are looking opportunities in Manual and Automation Testing.

Who is the target audience?
  • This is specially meant for software testers who are working in manual or automation testing and planning to start career in big data testing
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Curriculum For This Course
Expand All 51 Lectures Collapse All 51 Lectures 04:21:16
+
Working on Unix Environment
14 Lectures 53:34


Backup Commands
09:55

Working with Log file
04:32

Process Command
01:41

File Comparison
03:36

Working with Memory
02:48

Advance Process Work
02:27

Search Command
02:50

Miscellaneous Command
03:15


Editors
03:03

User Commands
03:33

Environment Variables
03:16
+
Shell Scripting
10 Lectures 01:00:12
Shell Basics
04:18

First Shell Script
04:47


User interaction for input
03:18

Command Line Argument
06:34

Condition Handling - If/Else
08:58

Condition Handling - Multiple Conditions
07:14

Condition Handling - Logical OR/AND
05:43

For Loop
03:37

Functions
07:31
+
SQL - Select Queries
7 Lectures 26:06
Select Query Basic
02:53

Select with Where Clause
05:04


Select Data with Sorting
03:55

Select data with pattern matching - Like
04:39

Select Unique data(Distinct)
02:00

Select with Subquery
02:23
+
Constraints
1 Lecture 03:03
Difference Between Primary Key and Unique Key
03:03
+
Python Scripting
19 Lectures 01:58:21
Why need to learn python ?
07:25

What is Python?
04:12


Python coding guidelines
04:13

Variables in python
05:29

Working with String
12:58

Python and PyDev Setup
06:54

Python : List
04:05

Python : Tuple
03:49

Python : Dictionary
02:56

Python : Condition handling
09:50

Python : Loop
03:35

Python : Function
14:00

File handling in Python
05:23

Exception Handling
04:40

Module
05:23

Write data to Excel(XLWT)
03:28

Read data from Excel(XLRD)
06:04

Class & Object
06:07
About the Instructor
T World
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Testing World
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Masters In Computer Science

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