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COURSE HIGHLIGHTS
- Instructor lead online training by Real time working faculty
- Software or lab access will be provided for unlimited hours
- Good quality Material will be provided
- Real time assignments to get hands on experience
- Interview and job oriented training by exceptionally good trainers
- Instructor lead online training by Real time working faculty
- Software or lab access will be provided for unlimited hours
- Good quality Material will be provided
- Real time assignments to get hands on experience
- Interview and job oriented training by exceptionally good trainers
Course Content
HADOOP Using Cloudera
Development & Admin Course
HADOOP Using Cloudera
Development & Admin Course
Introduction to BigData, Hadoop:-
ð Big Data Introduction
ð Hadoop Introduction
ð What is Hadoop? Why Hadoop?
ð Hadoop History?
ð Different types of Components in Hadoop?
ð HDFS, MapReduce, PIG, Hive, SQOOP, HBASE, OOZIE, Flume, Zookeeper and so on…
ð What is the scope of Hadoop?
ð Big Data Introduction
ð Hadoop Introduction
ð What is Hadoop? Why Hadoop?
ð Hadoop History?
ð Different types of Components in Hadoop?
ð HDFS, MapReduce, PIG, Hive, SQOOP, HBASE, OOZIE, Flume, Zookeeper and so on…
ð What is the scope of Hadoop?
Deep Drive in HDFS (for Storing the Data):-
ð Introduction of HDFS
ð HDFS Design
ð HDFS role in Hadoop
ð Features of HDFS
ð Daemons of Hadoop and its functionality
o Name Node
o Secondary Name Node
o Job Tracker
o Data Node
o Task Tracker
ð Anatomy of File Wright
ð Anatomy of File Read
ð Network Topology
o Nodes
o Racks
o Data Center
ð Parallel Copying using DistCp
ð Basic Configuration for HDFS
ð Data Organization
o Blocks and
o Replication
ð Rack Awareness
ð Heartbeat Signal
ð How to Store the Data into HDFS
ð How to Read the Data from HDFS
ð Accessing HDFS (Introduction of Basic UNIX commands)
ð CLI commands
ð Introduction of HDFS
ð HDFS Design
ð HDFS role in Hadoop
ð Features of HDFS
ð Daemons of Hadoop and its functionality
o Name Node
o Secondary Name Node
o Job Tracker
o Data Node
o Task Tracker
ð Anatomy of File Wright
ð Anatomy of File Read
ð Network Topology
o Nodes
o Racks
o Data Center
ð Parallel Copying using DistCp
ð Basic Configuration for HDFS
ð Data Organization
o Blocks and
o Replication
ð Rack Awareness
ð Heartbeat Signal
ð How to Store the Data into HDFS
ð How to Read the Data from HDFS
ð Accessing HDFS (Introduction of Basic UNIX commands)
ð CLI commands
MapReduce using Java (Processing the Data):-
ð Introduction of MapReduce.
ð MapReduce Architecture
ð Data flow in MapReduce
o Splits
o Mapper
o Portioning
o Sort and shuffle
o Combiner
o Reducer
ð Understand Difference Between Block and InputSplit
ð Role of RecordReader
ð Basic Configuration of MapReduce
ð MapReduce life cycle
o Driver Code
o Mapper
o and Reducer
ð How MapReduce Works
ð Writing and Executing the Basic MapReduce Program using Java
ð Submission & Initialization of MapReduce Job.
ð File Input/output Formats in MapReduce Jobs
o Text Input Format
o Key Value Input Format
o Sequence File Input Format
o NLine Input Format
ð Joins
o Map-side Joins
o Reducer-side Joins
ð Word Count Example
ð Partition MapReduce Program
ð Side Data Distribution
o Distributed Cache (with Program)
ð Counters (with Program)
o Types of Counters
o Task Counters
o Job Counters
o User Defined Counters
o Propagation of Counters
ð Job Scheduling
ð Introduction of MapReduce.
ð MapReduce Architecture
ð Data flow in MapReduce
o Splits
o Mapper
o Portioning
o Sort and shuffle
o Combiner
o Reducer
ð Understand Difference Between Block and InputSplit
ð Role of RecordReader
ð Basic Configuration of MapReduce
ð MapReduce life cycle
o Driver Code
o Mapper
o and Reducer
ð How MapReduce Works
ð Writing and Executing the Basic MapReduce Program using Java
ð Submission & Initialization of MapReduce Job.
ð File Input/output Formats in MapReduce Jobs
o Text Input Format
o Key Value Input Format
o Sequence File Input Format
o NLine Input Format
ð Joins
o Map-side Joins
o Reducer-side Joins
ð Word Count Example
ð Partition MapReduce Program
ð Side Data Distribution
o Distributed Cache (with Program)
ð Counters (with Program)
o Types of Counters
o Task Counters
o Job Counters
o User Defined Counters
o Propagation of Counters
ð Job Scheduling
PIG:-
ð Introduction to Apache PIG
ð Introduction to PIG Data Flow Engine
ð MapReduce vs PIG in detail
ð When should PIG used?
ð Data Types in PIG
ð Basic PIG programming
ð Modes of Execution in PIG
o Local Mode and
o MapReduce Mode
ð Execution Mechanisms
o Grunt Shell
o Script
o Embedded
ð Operators/Transformations in PIG
ð PIG UDF's with Program
ð Word Count Example in PIG
ð The difference between the MapReduce and PIG
ð Introduction to Apache PIG
ð Introduction to PIG Data Flow Engine
ð MapReduce vs PIG in detail
ð When should PIG used?
ð Data Types in PIG
ð Basic PIG programming
ð Modes of Execution in PIG
o Local Mode and
o MapReduce Mode
ð Execution Mechanisms
o Grunt Shell
o Script
o Embedded
ð Operators/Transformations in PIG
ð PIG UDF's with Program
ð Word Count Example in PIG
ð The difference between the MapReduce and PIG
SQOOP:-
ð Introduction to SQOOP
ð Use of SQOOP
ð Connect to mySql database
ð SQOOP commands
o Import
o Export
o Eval
o Codegen and etc…
ð Joins in SQOOP
ð Export to MySQL
ð Introduction to SQOOP
ð Use of SQOOP
ð Connect to mySql database
ð SQOOP commands
o Import
o Export
o Eval
o Codegen and etc…
ð Joins in SQOOP
ð Export to MySQL
HIVE:-
ð Introduction to HIVE
ð HIVE Meta Store
ð HIVE Architecture
ð Tables in HIVE
o Managed Tables
o External Tables
ð Hive Data Types
o Primitive Types
o Complex Types
ð Partition
ð Joins in HIVE
ð HIVE UDF's and UADF's with Programs
ð Word Count Example
ð Introduction to HIVE
ð HIVE Meta Store
ð HIVE Architecture
ð Tables in HIVE
o Managed Tables
o External Tables
ð Hive Data Types
o Primitive Types
o Complex Types
ð Partition
ð Joins in HIVE
ð HIVE UDF's and UADF's with Programs
ð Word Count Example
HBASE:-
ð Introduction to HBASE
ð Basic Configurations of HBASE
ð Fundamentals of HBase
ð What is NoSQL?
ð HBase DataModel
o Table and Row
o Column Family and Column Qualifier
o Cell and its Versioning
ð Categories of NoSQL Data Bases
o Key-Value Database
o Document Database
o Column Family Database
ð SQL vs NOSQL
ð How HBASE is differ from RDBMS
ð HDFS vs HBase
ð Client side buffering or bulk uploads
ð HBase Designing Tables
ð HBase Operations
o Get
o Scan
o Put
o Delete
ð Introduction to HBASE
ð Basic Configurations of HBASE
ð Fundamentals of HBase
ð What is NoSQL?
ð HBase DataModel
o Table and Row
o Column Family and Column Qualifier
o Cell and its Versioning
ð Categories of NoSQL Data Bases
o Key-Value Database
o Document Database
o Column Family Database
ð SQL vs NOSQL
ð How HBASE is differ from RDBMS
ð HDFS vs HBase
ð Client side buffering or bulk uploads
ð HBase Designing Tables
ð HBase Operations
o Get
o Scan
o Put
o Delete
MongoDB:--
ð What is MongoDB?
ð Where to Use?
ð Configuration On Windows
ð Inserting the data into MongoDB?
ð Reading the MongoDB data.
ð What is MongoDB?
ð Where to Use?
ð Configuration On Windows
ð Inserting the data into MongoDB?
ð Reading the MongoDB data.
Cluster Setup:--
ð Downloading and installing the Ubuntu12.x
ð Installing Java
ð Installing Hadoop
ð Creating Cluster
ð Increasing Decreasing the Cluster size
ð Monitoring the Cluster Health
ð Starting and Stopping the Nodes
ð Downloading and installing the Ubuntu12.x
ð Installing Java
ð Installing Hadoop
ð Creating Cluster
ð Increasing Decreasing the Cluster size
ð Monitoring the Cluster Health
ð Starting and Stopping the Nodes
OOZIE
ð Introduction to OOZIE
ð Use of OOZIE
ð Where to use?
Hadoop Ecosystem Overview
Oozie
HBase
Pig
Sqoop
Casandra
Chukwa
Mahout
Zoo Keeper
Flume
ð Introduction to OOZIE
ð Use of OOZIE
ð Where to use?
Hadoop Ecosystem Overview
Oozie
HBase
Pig
Sqoop
Casandra
Chukwa
Mahout
Zoo Keeper
Flume
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