Learn Big Data Testing (Hadoop, Hive, Cassandra, HBase etc.)

Learn Big Data Testing (Hadoop, Hive, Cassandra, HBase etc.), available at $29.99, has an average rating of 2.7, with 40 lectures, based on 165 reviews, and has 4213 subscribers.

You will learn about 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. This course is ideal for individuals who are Any Level of Testing Profile Candidate is the target audience for this course. It is particularly useful for Any Level of Testing Profile Candidate is the target audience for this course.

Enroll now: Learn Big Data Testing (Hadoop, Hive, Cassandra, HBase etc.)

Summary

Title: Learn Big Data Testing (Hadoop, Hive, Cassandra, HBase etc.)

Price: $29.99

Average Rating: 2.7

Number of Lectures: 40

Number of Published Lectures: 40

Number of Curriculum Items: 40

Number of Published Curriculum Objects: 40

Original Price: $69.99

Quality Status: approved

Status: Live

What You Will 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.

Who Should Attend

Any Level of Testing Profile Candidate is the target audience for this course.

Target Audiences

Any Level of Testing Profile Candidate is the target audience for this course.

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.

Course Curriculum

Chapter 1: Big Data Testing – Introduction

Lecture 1: Introduction

Lecture 2: What is Big Data and why it is important?

Lecture 3: What is Big Data and Why We Need Big Data Technologies?

Chapter 2: Cloudera Environment Setup Process

Lecture 1: What is Cloudera and how to Setup Cloudera Environment?

Chapter 3: Complete Section for Cassandra

Lecture 1: Cassandra Overview and Cassandra Background

Lecture 2: Cassandra Architecture and SPOF

Lecture 3: Cassandra Query

Lecture 4: How to Load Data from TXT or CSV files to Cassandra Table?

Lecture 5: Cassandra Collections – SET Type

Lecture 6: Cassandra Collections – MAP Type

Lecture 7: Cassandra Collections – LIST Type

Lecture 8: Drop and Truncate in Cassandra

Chapter 4: Complete Section for HBase

Lecture 1: HBase Queries

Lecture 2: Table Creation in HBase

Lecture 3: How to work with Enable, Disable and Describe in HBase Table?

Lecture 4: HBase Filter

Lecture 5: ACID and CAP Theorem in HBase

Chapter 5: Complete Section for Hadoop

Lecture 1: Different Hadoop Running Modes

Lecture 2: HDFS Comamnds -3 (Cloudera)

Lecture 3: HDFS Comamnds -4 (Cloudera)

Lecture 4: HDFS Comamnds -5 (Cloudera)

Lecture 5: HDFS Comamnds -6 (Cloudera)

Lecture 6: HDFS Commands -7(Ubuntu)

Lecture 7: HDFS Commands – 8(Ubuntu)

Lecture 8: What all are differrent V's in Big Data?

Lecture 9: Different Big Data Supported Data Types

Lecture 10: Diffrent between Hadoop 1.x and Hadoop 2.x

Chapter 6: Complete Section for Hive

Lecture 1: What is Hive and Different Hive Features

Lecture 2: How to Install Hive on Ubuntu Machine?

Lecture 3: Hive Queries

Lecture 4: Differerent Hive Tables – Managed Table

Lecture 5: Different Hive Tables – External Table

Lecture 6: Hive Static Partition

Lecture 7: Hive Dynamic Partition

Lecture 8: Hive Bucketing

Lecture 9: Hive Index Implementation

Lecture 10: Hive View Implementation

Lecture 11: How to Compare Two Hive Tables?

Chapter 7: PIG Section

Lecture 1: Different Queries in Pig

Lecture 2: Load Data from HDFS to PIG

Instructors

Big Data Engineer
Big Data Engineer

Rating Distribution

1 stars: 22 votes
2 stars: 10 votes
3 stars: 28 votes
4 stars: 55 votes
5 stars: 50 votes

Frequently Asked Questions

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