Big data Internship Program - Foundation (Udemy.com)
A Complete Guide to Learn Big data and Hadoop from Scratch.
Created by: Big Data Trunk
Last updated May 2019
What you will learn
- After this course, students will have all the necessary foundational knowledge which is vital to be a successful big data professional.
How it compares
Against the other 150 rated Udemy courses in Hadoop on CourseDuck:
- Rating4.4 out of 5higher than 54% of them
- Reviews1,563#44 of 151 by number of reviews
- Length4.6 hoursshorter than 64% of them
- Last updatedMay 2019earlier than 74% of them
Course Description
This course is part of “Big data Internship Program” which is aligned to a typical Big data project life cycle stage.
- Foundation
- Ingestion
- Storage
- Processing
- Visualization
This part 1 course is focused on the foundation of Big data . It cover technical and non-technical items like
Technical Foundation
- Refresh your knowledge on Unix
- Java based on usage into Big Data .
- Understand git /github which is used by most of the companies for source control
- Hadoop Installation
Non-technical Foundation
- Understand Big data project life cycle
- Understand Roles in Big data Implementation
- Understand the Real life Project
Big data Topics
- Learn about the hadoop ecosystem
- HDFS
- MapReduce
- Why Spark?
Instructor Details
- 4.4 Rating
1,563 Reviews
Big Data Trunk
Big Data Trunk is the leading Big Data focus consulting and training firm founded by industry veterans in data domain. It helps is customer gain competitive advantage from open source, big data, cloud and advanced analytics. It provides services like Strategy Consulting, Advisory Consulting and high quality classroom individual and corporate training.
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Reviews
By Saniya Khan on 7/27/2022
lectures are given by diffrent persons, it should be given by same person. some times volume is proper, sometimes too less, some videos have muffled voice, not clear. otherwise content is good. explanation is also good.
By Hemalatha on 2/9/2020
Basics of Linux, Java and big data were explained clearly by providing couple of examples of map reduce jobs with a sample code and Cloudera installation. Definitely it's a complete startup guide to learn big data and Hadoop.
By Othman Ait Maatallah on 4/30/2019
This course brings clear ideas about big data. It is well organized and straight to the point. This course would be better if the instructor in some videos (lecture 39) were to speak slowly to make the accent easy to understand. Despite this remark, I recommend this course to everyone willing to learn about Big Data. Great job guys!
By LearnB on 3/14/2019
I think it was a good presentation of overall process of starting with big data, but I was hopping for more understanding of algorithms used and real life examples as well.
By Nitesh Khadka on 8/16/2018
This gives a good foundation on Big Data. I really enjoyed the whole course. It is divided into smaller chapter which made the understanding more clear. However, the instructor should review the quizzes and content as some content are mismatched.
By Ankit Jain on 7/10/2017
Very pragmatic training approach with evaluation functionality, which helps to corroborate the learnings so far !! Overall a pleasant experience while going through this course !
By Rahul kumar on 5/23/2017
This course gives basic idea and good way of explanation . github topics i was getting well . and still i'm curious about what all the topic big data contents.
By Anvesh Varma Datla on 4/16/2017
This course is great for people with bit of programming experience. Big data concepts were explained in a detailed way. It would be great if this course comes with more examples. I really love the way the hadoop concepts were explained using a story.
By Vishal Shah on 12/22/2016
We can use for the installation and configuration of the Cloudera. It gives the lot's theory concepts gives which understand with Hadoop echo systems with the spark. Also with basic Map reduce startup the program. No practical approach and configuration approach for spark and other parts.
By Farhan Jama Hallane on 11/20/2016
well descriptive and delivered. I appreciate to the instructors for their common sense analogies they are using for explanation purposes, which makes easy to understand the concept(s). Thank you.
Quality Score
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Overall Score : 88 / 100






