3.75 out of 5
3.75
11 reviews on Udemy

Big Data and Hadoop : Interactive Intense Course

Managing Big data using Hadoop tools like MapReduce, Hive, Pig, hBase and many more and Able to crack Cloudera CCA 175.
Instructor:
Saheb Singh Chaddha
1,722 students enrolled
In late 1990s, Developers and Programmers were generating data through coding, in late 2000s everyone on Social media generating data on FB, Twitter, Insta etc and these days Machines are generating data which overall creating a Huge Volume of data which cannot be handled easily through traditional databases, so after completion of this course you'll be able to do that using HADOOP as your platform.
Able to crack Cloudera CCA 175 Certification

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 :

1. Sqoop

2. Flume

3. MapReduce

4. Hive

5. Impala

6. Beeline

7. Apache Pig

8. HBase

9. OOZIE

10. Project on a real data set.

Introduction

1
Big Data and Hadoop Introduction
2
Hadoop Framework
3
Hadoop Ecosystem
4
HDFS
5
Magic Boxes, Sqoop and Flume
6
NameNode, DataNode and JournalNode
7
Input output operations, Ram and HDD, pros and cons
8
MapReduce Theory 1.1
9
MapReduce Theory 1.2
10
MapReduce Theory 1.3
11
Combiner Approach with pros and cons
12
Practical : Sqoop with MySQL
13
Visit to Cloudera Machine
14
Sqoop commands with introduction to Linux commands as well
15
Sqoop commands
16
Basics of core Java, introduction to eclipse, MapReduce Coding
17
MapReduce Coding only
18
Hive theory
19
Word Count Processing time Comparison between MapReduce and Apache Spark
20
Hive: connecting, loading, defining delimiters
21
Hive: coding
22
Hive to Impala and Beeline
23
Comparing Performance Time between Hive and Impala
24
Hive : partitioning and bucketing part 1
25
Hive : partitioning and bucketing part 2 ( 2 hours lecture)
26
YARN, HBASE, OOZIE
27
FINAL PROJECT ON REAL DATA SET

Hello guys !

Great work reaching up to here, for the project thing, some '.mod' are required as you can see in the lecture but those files are not supported here, so I would request you to please send me an email on ' sahebsinghchaddha@gmail.com ' if you need all the resources for the Project, I;ll main you personally.

Thanks!

You can view and review the lecture materials indefinitely, like an on-demand channel.
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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Includes

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