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Description

This course is for Testing profile candidate who wanted to build there career into Big Data Testing. So I have designed this course so they can start learning big data technologies. All the users who are working or looking for Job in QA profile or wanted to move into big data testing domain should take this course and go through the complete tutorials.


I have included the material which is needed for big data testing profile and it has all the necessary contents which includes practical examples as well depends on questions and there practicality.


It will give the detailed information for different topics like big data hadoop, hive, Hbase, Cassandra, Unix, Shell, Pig along with Agile which is needed by the tester to move into bigger umbrella i.e. Big Data Testing.


This course is well structured with all elements of different technologies in practical manner separated by different topics. Students should take this course who wanted to move into big data testing to advance their career.
Who this course is for:
Any Level of Testing Profile Candidate is the target audience for this course.

What you'll learn

At the end of this course, students would understand the different Big Data Testing Technologies which are used in Big Data and they can start working in testing profile.

At the end of this tutorial, students would be able to start their career in Big Data Testing at different levels.

Requirements

  • You will need a copy of Adobe XD 2019 or above. A free trial can be downloaded from Adobe.
  • No previous design experience is needed.
  • No previous Adobe XD skills are needed.

Course Content

27 sections • 95 lectures
Expand All Sections
1-Big Data Testing - Introduction
3
1.1-Introduction
1.2-What is Big Data and why it is important?
1.3-What is Big Data and Why We Need Big Data Technologies?
2-Cloudera Environment Setup Process
1
2.1-What is Cloudera and how to Setup Cloudera Environment?
3-Complete Section for Cassandra
8
3.1-Cassandra Overview and Cassandra Background
3.2-Cassandra Architecture and SPOF
3.3-Cassandra Query
3.4-How to Load Data from TXT or CSV files to Cassandra Table?
3.5-Cassandra Collections - SET Type
3.6-Cassandra Collections - MAP Type
3.7-Cassandra Collections - LIST Type
3.8-Drop and Truncate in Cassandra
4-Complete Section for HBase
5
4.1-HBase Queries
4.2-Table Creation in HBase
4.3-How to work with Enable, Disable and Describe in HBase Table?
4.4-HBase Filter
4.5-ACID and CAP Theorem in HBase
5-Complete Section for Hadoop
10
5.1-Different Hadoop Running Modes
5.2-HDFS Comamnds -3 (Cloudera)
5.3-HDFS Comamnds -4 (Cloudera)
5.4-HDFS Comamnds -5 (Cloudera)
5.5-HDFS Comamnds -6 (Cloudera)
5.6-HDFS Commands -7(Ubuntu)
5.7-HDFS Commands - 8(Ubuntu)
5.8-What all are differrent V's in Big Data?
5.9-Different Big Data Supported Data Types
5.10-Diffrent between Hadoop 1.x and Hadoop 2.x
6-Complete Section for Hive
11
6.1-What is Hive and Different Hive Features
6.2-How to Install Hive on Ubuntu Machine?
6.3-Hive Queries
6.4-Differerent Hive Tables - Managed Table
6.5-Different Hive Tables - External Table
6.6-Hive Static Partition
6.7-Hive Dynamic Partition
6.8-Hive Bucketing
6.9-Hive Index Implementation
6.10-Hive View Implementation
6.11-How to Compare Two Hive Tables?
7-PIG Section
2
7.1-Different Queries in Pig
7.2-Load Data from HDFS to PIG