Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
4 Hour(s) 25 Minute(s)
Language
English
Taught by
Big Data Engineer
Rating
2 views
Course Overview
Learn Big Data Testing with Spark, Scala and MongoDB
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.
Course Content
- 6 section(s)
- 31 lecture(s)
- Section 1 Spark Introduction
- Section 2 Cloudera Setup Process
- Section 3 Spark Practicals
- Section 4 How to work with diffrent File Handling in Scala?
- Section 5 SQL Context Data Support
- Section 6 MongoDB Introduction
What You’ll Learn
- Learners will explore how Apache Spark is used for fast data processing, how Scala supports Spark-based applications, and how MongoDB functions as a NoSQL, At the end of this tutorial, students would be able to start their career in Big Data Testing with this technology at different levels., By the end of this course, students will gain a strong understanding of Spark, Scala, and MongoDB as key testing technologies used in Big Data environments, With this practical knowledge, participants will be well prepared to start working confidently in Big Data testing roles.
Skills covered in this course
Reviews
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TTanuj Kumar Jha
Very good for fundamental knowledge but there should have been more practical Examples as to how are we going to test data in real time scenario.
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EEmily Lozon
lots of repetition, not much content covered.
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JJuan A Ley
Too much talk
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GGibson
good commands and queries.
