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Big Data and Hadoop from Scratch

This is an interactive lecture of one of my Big data and Hadoop class where everything is covered from the scratch and also you will see students asking doubts so you can clear those concepts here as well.
☆☆☆☆☆ /5
(0 reviews)
4 students
Created by
Saheb Singh Chaddha

8.5

Classbaze Grade®

9.2

Freshness

N/A

Popularity

7.4

Material

Detailed Analysis »

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Platform: Simpliv Learning
Price: check current price
Video: 4h55m
Language: English
Next start: On Demand

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Classbaze Rating

Classbaze Grade®

8.5 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness

9.2 / 10
This course was last updated on 08/2020.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Popularity

We analyzed factors such as the rating and the ratio between the number of reviews and the number of students, which is a great signal of student commitment. If a course does not yet have a rating, we exclude Feedback Score from the overall CourseMarks Score.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Material

7.4 / 10
Video Score: 7.5 / 10
The course includes 4h55m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 2 hours 44 minutes of 25 Apache Hive courses on Simpliv Learning.
Detail Score: 9.2 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 1.0 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

0 article.
0 resource.
0 exercise.
0 test.

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About this course

  The course will teach you this
  What you need to START the course
  Who can start this course?
General questions
  Coupons & Discounts
  Guarantees & money back
  Financial aid
Teacher
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About the course

This is an interactive lecture of one of my Big data and Hadoop class where everything is covered from the scratch and also you will see students asking doubts so you can clear those concepts here as well.

Students will be Able to crack Cloudera CCA 175 Certification after successful completion and with little practice.

Tools covered:

Sqoop
Flume
MapReduce
Hive
Impala
Beeline
Apache Pig
HBase
OOZIE
Project on a real data set
( FILES WHICH ARE USED IN LECTURES FOR EXPLANATION OR IN PROJECT CANNOT BE UPLOADED DUE TO EXTENSION SO I WOULD REQUEST YOU TO ASK ME ON sahebsinghchaddha@gmail.com, SO I WILL MAIL IT TO YOU INDIVIDUALLY)

Basic knowledge
Well, for Big Data Analytics Core Java, My SQL is required, but if am your trainer, there are no prerequisites as I will be teaching everything from scratch

What can you learn from this course?

Able to transfer Big Data from traditional database to your Hadoop Envirnment(HDFS)
✓ be able to do all the required analytical jobs with HIVE, IMPALA and BEELINE on the BIG DATA provided to you, which will give you a real experience of how things work in a company
✓ Learn the most leading tools of Hadoop like: SQOOP, HIVE, IMPALA, BEELINE, MAPREDUCE, PIG, HBASE. OOZIE, YARN, etc
✓ Be ready for clearing the section of HADOOP in the CLOUDERA CCA175 CERTIFICATION

What you need to start the course?

• Well, for Big Data Analytics Core Java, My SQL is required, but if am your trainer, there are no prerequisites as I will be teaching everything from scratch

Who is this course is made for?

• Professionals who want to learn Hadoop
• Data Analyst
• Hadoop Beginners
• Professionals who want to make MapReduce Application

Are there coupons or discounts for Big Data and Hadoop from Scratch ? What is the current price?

The course costs $9.99. And currently there is a 80% discount on the original price of the course, which was $49.99. So you save $40 if you enroll the course now.
The average price is $29.8 of 25 Apache Hive courses. So this course is -66% more expensive than the average Apache Hive course on Simpliv Learning.

Will I be refunded if I'm not satisfied with the Big Data and Hadoop from Scratch course?

YES, Big Data and Hadoop from Scratch has a 20-day money back guarantee. The 20-day refund policy is designed to allow students to study without risk.

Are there any financial aid for this course?

Currently we could not find a scholarship for the Big Data and Hadoop from Scratch course, but there is a $40 discount from the original price ($49.99). So the current price is just $9.99.

Who will teach this course? Can I trust Saheb Singh Chaddha?

Saheb Singh Chaddha has created 9 courses that got 432 reviews which are generally positive. Saheb Singh Chaddha has taught 13,930 students and received a 4.1 average review out of 432 reviews. Depending on the information available, we think that Saheb Singh Chaddha is an instructor that you can trust.

Learn everything about

Saheb Singh Chaddha

Data Scientist
Hello guys, How are you all doing? So a quick introduction of me, well I am a Big Data Expert and Data Scientist, I have 3 years of experience on these domain in companies as well as a trainer.

My teaching method is completely different than others like I am not a slide reader, I use analogies and examples a lot to explain things and mostly try to be practical which you’ll see in the course.

Hope to see you all in the lectures, Good Luck!
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8.5

Classbaze Grade®

9.2

Freshness

N/A

Popularity

7.4

Material

Detailed Analysis »

Go to course »
Platform: Simpliv Learning
Price: check current price
Video: 4h55m
Language: English
Next start: On Demand

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