3.65 out of 5
3.65
15 reviews on Udemy

Learn Big Data Testing with Spark, Scala and MongoDB

Learn Big Data Testing with Spark, Scala and MongoDB
Instructor:
Big Data Engineer
143 students enrolled
At the end of this course, students would understand the Spark, Scala, MongoDB as Testing Technology 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 with this technology at different levels.

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 working with Spark, Scala and MongoDB into big data testing. All the users who are working in QA profile and 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 is required for learning Spark, Scala and MongoDB.

It will give the detailed information for different Spark, Scala and MongoDB commands 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 Spark, Scala and MongoDB commands in practical manner separated by different topics. Students should take this course who wanted to learn Spark, Scala and MongoDB from scratch.

Spark Introduction

1
Introduction
2
Spark Components
3
Why We Use Spark?
4
Different Ways to Define Variable in Scala

Cloudera Setup Process

1
What is Cloudera and how to Setup Cloudera Environment?

Spark Practicals

1
Practical Session - How to use Variable in Scala?
2
Practical Session - Basic Spark Commands
3
Practical Session: How to Load Data From File in Scala?
4
Practical Session - How to Work With LIST in Scala?
5
Create First Program in Scala in Eclipse
6
Practical Session - Variable Implementation - 1
7
Practical Session - Variable Implementation - 2
8
Practical Session - How to Work With Functions in Scala?
9
Spark Architecture
10
RDD and its Features

How to work with diffrent File Handling in Scala?

1
Most Important Acronymn and Keywords Used in Spark Program
2
How to work with Collections in Scala?
3
How to work with File Data using Spark Context?

SQL Context Data Support

1
How to Read and Work with JSON File Format Data?
2
How to Read and Work with Parquet File Format Data?
3
How to Read Data from Hive Using HiveContext in Spark?
4
How to Work with Conditions/Filters using HiveContext?

MongoDB Introduction

1
What is MongoDB and different CRUD Operations
2
Install MongoDB on Ubuntu Machine
3
How to Create Database in MongoDB?
4
How to Insert data in Collection/Table in MongoDB?
5
How to Read Data in Collections/Tables in MongoDB?
6
How to Update data in MongoDB?
7
How to Delete the data in MongoDB?
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Includes

4 hours on-demand video
Full lifetime access
Access on mobile and TV
Certificate of Completion