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Hadoop Training Content by Mr. Sasidhar
Cloudera certified Hadoop professional
sasis937@gmail.com
Copy rights reserved
--- Hadoop ---
Hardware Requirements: -- Systems must have at least 2 GB RAM.
Software Requirements: -- I will provide all software (Operating System also).
CONTENTS
Virtual box/VM Ware
1. Basics & Installations
Linux
1. Basics
Hadoop
1. What is Hadoop?
2. Why Hadoop and flow of Hadoop
3. Scaling
4. Distributed Framework
5. Hadoop v/s RDBMS
6. Brief history of Hadoop
Hadoop installation in pseudo mode
Hadoop Training Content by Mr. Sasidhar
Cloudera certified Hadoop professional
sasis937@gmail.com
Copy rights reserved
Hadoop installation in cluster mode
1. Adding and removing nodes (without down time)
2. Decommissioning nodes
3. Block size
4. Hadoop Processes ( NN, SNN, JT, DN, TT)
Common errors when running Hadoop cluster, solutions
HDFS- Hadoop distributed File System
1. HDFS Design and Architecture
2. HDFS Concepts
3. Interacting HDFS using command line
4. Dataflow
5. Introduction about Blocks
6. Data Replication
7. Admin Commands
8. Hadoop archives
Hadoop Processes
1. Name node and its functionality
2. Secondary name node and its functionality
3. Job tracker and its functionality
4. Task tracker and its functionality
5. Data node and its functionality
6. Resource manager and its functionality
Hadoop Training Content by Mr. Sasidhar
Cloudera certified Hadoop professional
sasis937@gmail.com
Copy rights reserved
7. Node manager and its functionality
Map Reduce
1. Developing Map Reduce Application
2. Phases in Map Reduce Framework
3. Map Reduce Input and Output Formats
4. Advanced Concepts
5. Combiner
6. HAR
7. Partitioner, sorting, shuffling
8. Different phases of MapReduce programs
9. Data localization
10. Different unstructured data processing examples
11. Image processing by using MapReduce
Joining datasets in MapReduce jobs
1. Map-side join
2. Reduce-Side join
Hadoop Programming Languages:-
PIG
1. Introduction (Basics)
2. Installation and Configuration
3. Different datatypes in PIG
Hadoop Training Content by Mr. Sasidhar
Cloudera certified Hadoop professional
sasis937@gmail.com
Copy rights reserved
4. Interacting HDFS using PIG
5. Map Reduce Programs through PIG
6. PIG Commands
7. Execution mechanisms (grunt, script...)
8. Loading, Filtering, Grouping, joins….
9. Sample programs in PIG with Real time
Hive
a. Basics (Introduction)
b. Installation and Configurations
c. Datatypes and operators
d. HQL Commands
e. Interacting HDFS using Hive
f. MapReduce programs through Hive
g. Joins, groups, filter......
h. Sample Programs in hive with real-time
I. Join vs Map Join
Hadoop Training Content by Mr. Sasidhar
Cloudera certified Hadoop professional
sasis937@gmail.com
Copy rights reserved
Impala
a. Basics
b. Commands
Sqoop
a. Introduction to sqoop
b. Installations & Configurations
c. Sqoop commands
d. Connect to relational database using sqoop and downloading lakhs of records to
Hadoop (in single minute)
Flume
a. Basics (Introduction)
b. Installation and Configurations
NOSQL Databases Concepts
a. Hbase
I. Basics & Installations
II. commands
III. Interacting Hbase with HDF
Hadoop Training Content by Mr. Sasidhar
Cloudera certified Hadoop professional
sasis937@gmail.com
Copy rights reserved
b. MongoDb
I. Basics & Installations
II. All queries for processing data
OOZIE Introduction
Zookeeper introduction
Apache Spark
a. Introduction
b. Installations and configurations
c. RDD , SC....
d. Scala Introduction
e. Interacting spark with HDFS
f. Programs in Spark through Scala
Specialties:--
ETL tool (Data Warehousing BI Tools):--
Hadoop Training Content by Mr. Sasidhar
Cloudera certified Hadoop professional
sasis937@gmail.com
Copy rights reserved
PDI
1. Introduction
2. Creating RDBMS database
3. Establishing Connection between PDI to RDMS database
4. Creating data in Hadoop
5. Establishing Connection between PDI to Hadoop data
6. Moving data from Hadoop to RDBMS and vice versa
7. Summarization
Highlights
a. Working with Apache & cloudera Hadoop
b. Practical's on Hadoop cluster
c. Real life use cases
d. Will cover old version of Hadoop and latest version of Hadoop
If you need anything more, please feel free to contact.
Contact – Mr. Sasidhar
sasis937@gmail.com
91 - 7795851053
Hadoop Training Content by Mr. Sasidhar
Cloudera certified Hadoop professional
sasis937@gmail.com
Copy rights reserved

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Hadoop_content_by_sasidhar2

  • 1. Hadoop Training Content by Mr. Sasidhar Cloudera certified Hadoop professional sasis937@gmail.com Copy rights reserved --- Hadoop --- Hardware Requirements: -- Systems must have at least 2 GB RAM. Software Requirements: -- I will provide all software (Operating System also). CONTENTS Virtual box/VM Ware 1. Basics & Installations Linux 1. Basics Hadoop 1. What is Hadoop? 2. Why Hadoop and flow of Hadoop 3. Scaling 4. Distributed Framework 5. Hadoop v/s RDBMS 6. Brief history of Hadoop Hadoop installation in pseudo mode
  • 2. Hadoop Training Content by Mr. Sasidhar Cloudera certified Hadoop professional sasis937@gmail.com Copy rights reserved Hadoop installation in cluster mode 1. Adding and removing nodes (without down time) 2. Decommissioning nodes 3. Block size 4. Hadoop Processes ( NN, SNN, JT, DN, TT) Common errors when running Hadoop cluster, solutions HDFS- Hadoop distributed File System 1. HDFS Design and Architecture 2. HDFS Concepts 3. Interacting HDFS using command line 4. Dataflow 5. Introduction about Blocks 6. Data Replication 7. Admin Commands 8. Hadoop archives Hadoop Processes 1. Name node and its functionality 2. Secondary name node and its functionality 3. Job tracker and its functionality 4. Task tracker and its functionality 5. Data node and its functionality 6. Resource manager and its functionality
  • 3. Hadoop Training Content by Mr. Sasidhar Cloudera certified Hadoop professional sasis937@gmail.com Copy rights reserved 7. Node manager and its functionality Map Reduce 1. Developing Map Reduce Application 2. Phases in Map Reduce Framework 3. Map Reduce Input and Output Formats 4. Advanced Concepts 5. Combiner 6. HAR 7. Partitioner, sorting, shuffling 8. Different phases of MapReduce programs 9. Data localization 10. Different unstructured data processing examples 11. Image processing by using MapReduce Joining datasets in MapReduce jobs 1. Map-side join 2. Reduce-Side join Hadoop Programming Languages:- PIG 1. Introduction (Basics) 2. Installation and Configuration 3. Different datatypes in PIG
  • 4. Hadoop Training Content by Mr. Sasidhar Cloudera certified Hadoop professional sasis937@gmail.com Copy rights reserved 4. Interacting HDFS using PIG 5. Map Reduce Programs through PIG 6. PIG Commands 7. Execution mechanisms (grunt, script...) 8. Loading, Filtering, Grouping, joins…. 9. Sample programs in PIG with Real time Hive a. Basics (Introduction) b. Installation and Configurations c. Datatypes and operators d. HQL Commands e. Interacting HDFS using Hive f. MapReduce programs through Hive g. Joins, groups, filter...... h. Sample Programs in hive with real-time I. Join vs Map Join
  • 5. Hadoop Training Content by Mr. Sasidhar Cloudera certified Hadoop professional sasis937@gmail.com Copy rights reserved Impala a. Basics b. Commands Sqoop a. Introduction to sqoop b. Installations & Configurations c. Sqoop commands d. Connect to relational database using sqoop and downloading lakhs of records to Hadoop (in single minute) Flume a. Basics (Introduction) b. Installation and Configurations NOSQL Databases Concepts a. Hbase I. Basics & Installations II. commands III. Interacting Hbase with HDF
  • 6. Hadoop Training Content by Mr. Sasidhar Cloudera certified Hadoop professional sasis937@gmail.com Copy rights reserved b. MongoDb I. Basics & Installations II. All queries for processing data OOZIE Introduction Zookeeper introduction Apache Spark a. Introduction b. Installations and configurations c. RDD , SC.... d. Scala Introduction e. Interacting spark with HDFS f. Programs in Spark through Scala Specialties:-- ETL tool (Data Warehousing BI Tools):--
  • 7. Hadoop Training Content by Mr. Sasidhar Cloudera certified Hadoop professional sasis937@gmail.com Copy rights reserved PDI 1. Introduction 2. Creating RDBMS database 3. Establishing Connection between PDI to RDMS database 4. Creating data in Hadoop 5. Establishing Connection between PDI to Hadoop data 6. Moving data from Hadoop to RDBMS and vice versa 7. Summarization Highlights a. Working with Apache & cloudera Hadoop b. Practical's on Hadoop cluster c. Real life use cases d. Will cover old version of Hadoop and latest version of Hadoop If you need anything more, please feel free to contact. Contact – Mr. Sasidhar sasis937@gmail.com 91 - 7795851053
  • 8. Hadoop Training Content by Mr. Sasidhar Cloudera certified Hadoop professional sasis937@gmail.com Copy rights reserved