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Road to Big Data Testing

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Course 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 understanding 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


  • Why tester need to learn Unix?
  • Unix Basic command
  • Backup Commands
  • Working with Log file
  • Process Command
  • File Comparison
  • Working with Memory
  • Advance Process Work
  • Search Command
  • Miscellaneous Command
  • Network Command
  • Editors
  • User Commands
  • Environment Variables
  • Shell Basics
  • First Shell Script
  • Variable in Shell Script
  • User interaction for input
  • Command Line Argument
  • Condition Handling – If/Else
  • Condition Handling – Multiple Conditions
  • Condition Handling – Logical OR/AND
  • For Loop
  • Functions
  • Select Query Basic
  • Select with Where Clause
  • Select Data – In & Between
  • Select Data with Sorting
  • Select data with pattern matching – Like
  • Select Unique data(Distinct)
  • Select with Subquery
  • Difference Between Primary Key and Unique Key
  • Why need to learn Python?
  • What is Python?
  • Python programming kickoff
  • Python coding guidelines
  • Variables in python
  • Working with String
  • Python and PyDev Setup
  • Python: List
  • Python: Tuple
  • Python: Dictionary
  • Python: Condition handling
  • Python: Loop
  • Python: Function
  • File handling in Python
  • Exception Handling
  • Module
  • Write data to Excel (XLWT)
  • Read data from Excel (XLRD)
  • Class & Object

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Duration 4.5 Hours
Level Beginner
Price $20.00 $10.00

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