Training- Cloudera Hadoop – 5 days

Training- Cloudera Hadoop – 5 days

Cloudera Certification Oriented Hadoop & Spark Training

Prerequisites: Basics of Java and working knowledge of Linux

(It Is mandatory to accomplish the training prerequisite conditions before nominating for the session)

Please go through the links before attending the session, this will help you to understand the concept easily.

Cloudera Hadoop Prerequisite links	Topics	Time in Minutes
https://www.youtube.com/watch?v=lBCSPuxw5jk&list=PL0mjtUA48y1QSUHALLFe0wH5YqeolUEyG	Introduction to Big Data	29
https://www.youtube.com/watch?v=lPtRyDBGBsA&list=PL0mjtUA48y1QSUHALLFe0wH5YqeolUEyG&index=2		43
https://www.youtube.com/watch?v=RSSuTBp-6VE&index=3&list=PL0mjtUA48y1QSUHALLFe0wH5YqeolUEyG		12
https://www.youtube.com/watch?v=XLCSujFWEPo&index=4&list=PL0mjtUA48y1QSUHALLFe0wH5YqeolUEyG	Hadoop Installation	16
https://www.youtube.com/watch?v=us4zKcv5RQc&index=5&list=PL0mjtUA48y1QSUHALLFe0wH5YqeolUEyG		18
https://www.youtube.com/watch?v=uXw6MFmtUIg&list=PL0mjtUA48y1QSUHALLFe0wH5YqeolUEyG&index=6		9
https://www.youtube.com/watch?v=W-BRuhErtcw&index=8&list=PL0mjtUA48y1QSUHALLFe0wH5YqeolUEyG		36

Course Outline:

Big Data                                                                                                               [4 hours]

• What is Big Data?
• Big Data Characteristics
• Evolution of Data Storages
• Need of Hadoop

Hadoop Generation 1                                                                                    [12 hours]

• Hadoop Introduction
• History
• Architecture
• Job Process
• Installation

Map Reduce                                                                                                      [4 hours]

• Introduction
• Programming Model
• Phases
• Examples

Apache Sqoop                                                                                                   [4 hours]

• Introduction
• Working
• Default Import
• Sequential Import
• Selective Import
• Incremental Import
• Export

Apache Hive                                                                                                      [4 hours]

• Introduction
• Configuration
• Basic Operations
• Create As Select
• Insert In To
• Partition
• Bucketing
• Transactions

Apace Pig                                                                                                            [6 hours]

• Introduction
• Latin Commands
• Aggregation
• Scripts
• UDF
• XML Parsing

Apache Flume                                                                                                   [1 hour]

• Introduction
• Configuration
• Working

Hadoop Generation 2                                                                                    [4 hours]

• Limitation of Generation 1
• Introduction to Generation 2
• YARN
• Federation
• High Availability

Apache Spark                                                                                                    [8 hours]

• Introduction
• RDD Introduction
• RDD Operations
• Functional Programming

Spark SQL                                                                                                            [4 hours]

• Introduction
• Data Frames and SQL Context
• CRUD
• Aggregation
• Joins