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Get Big Data Hadoop Expert in 45 Days

Get Big Data Hadoop Expert in 45 Days

Sanath Nagar, Ameerpet

12,000

No Reviews Yet
4 Interested

About the Course


The Apache™ Hadoop® project develops open-source software for reliable, scalable, distributed computing. Learn the fundamental principles behind it, and how you can use its power to make sense of your Big Data.

Topics Covered

Introduction to BigData, Hadoop:-

? Big Data Introduction
? Hadoop Introduction
? What is Hadoop? Why Hadoop?
? Hadoop History?
? Different types of Components in Hadoop?

? HDFS, MapReduce, PIG, Hive, SQOOP, HBASE, OOZIE, Flume, Zookeeper and so on…
? What is the scope of Hadoop?
Deep Drive in HDFS (for Storing the Data):-
? Introduction of HDFS
? HDFS Design
? HDFS role in Hadoop
? Features of HDFS
? Daemons of Hadoop and its functionality
o Name Node
o Secondary Name Node
o Job Tracker
o Data Node
o Task Tracker
? Anatomy of File Wright
? Anatomy of File Read
? Network Topology
o Nodes
o Racks
o Data Center
? Parallel Copying using DistCp
? Basic Configuration for HDFS
? Data Organization
o Blocks and
o Replication
? Rack Awareness
? Heartbeat Signal
? How to Store the Data into HDFS
? How to Read the Data from HDFS
? Accessing HDFS (Introduction of Basic UNIX commands)
? CLI commands

MapReduce using Java (Processing the Data):-
? Introduction of MapReduce.
? MapReduce Architecture
? Data flow in MapReduce
o Splits
o Mapper
o Portioning
o Sort and shuffle
o Combiner
o Reducer
? Understand Difference Between Block and InputSplit
? Role of RecordReader
? Basic Configuration of MapReduce
? MapReduce life cycle
o Driver Code
o Mapper
o and Reducer
? How MapReduce Works
? Writing and Executing the Basic MapReduce Program using Java
? Submission & Initialization of MapReduce Job.
? 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
? Joins
o Map-side Joins
o Reducer-side Joins
? Word Count Example
? Partition MapReduce Program
? Side Data Distribution
o Distributed Cache (with Program)
? Counters (with Program)
o Types of Counters
o Task Counters
o Job Counters
o User Defined Counters
o Propagation of Counters
? Job Scheduling
PIG:-
? Introduction to Apache PIG
? Introduction to PIG Data Flow Engine
? MapReduce vs PIG in detail
? When should PIG used?
? Data Types in PIG
? Basic PIG programming
? Modes of Execution in PIG
o Local Mode and
o MapReduce Mode
? Execution Mechanisms
o Grunt Shell
o Script
o Embedded
? Operators/Transformations in PIG
? PIG UDF’s with Program
? Word Count Example in PIG
? The difference between the

MapReduce and PIG
SQOOP:-
? Introduction to SQOOP
? Use of SQOOP
? Connect to mySql database
? SQOOP commands
o Import
o Export
o Eval
o Codegen and etc…
? Joins in SQOOP
? Export to MySQL
? Export to HBase

HIVE:-
? Introduction to HIVE
? HIVE Meta Store
? HIVE Architecture
? Tables in HIVE
o Managed Tables
o External Tables
? Hive Data Types
o Primitive Types
o Complex Types
? Partition
? Joins in HIVE
? HIVE UDF’s and UADF’s with Programs
? Word Count Example

HBASE:-
? Introduction to HBASE
? Basic Configurations of HBASE
? Fundamentals of HBase
? What is NoSQL?
? HBase Data Model
o Table and Row
o Column Family and Column Qualifier
o Cell and its Versioning
? Categories of NoSQL Data Bases
o Key-Value Database
o Document Database
o Column Family Database
? HBASE Architecture
o HMaster
o Region Servers
o Regions
o MemStore
o Store
? SQL vs NOSQL
? How HBASE is differ from RDBMS
? HDFS vs HBase
? Client side buffering or bulk uploads
? HBase Designing Tables
? HBase Operations
o Get
o Scan
o Put
o Delete

MongoDB:--
? What is MongoDB?
? Where to Use?
? Configuration On Windows
? Inserting the data into MongoDB?
? Reading the MongoDB data.
Cluster Setup:--
? Downloading and installing the Ubuntu12.x
? Installing Java
? Installing Hadoop
? Creating Cluster
? Increasing Decreasing the Cluster size
? Monitoring the Cluster Health
? Starting and Stopping the Nodes
Zookeeper
? Introduction Zookeeper
? Data Modal
? Operations

OOZIE
? Introduction to OOZIE
? Use of OOZIE
? Where to use?

Flume
? Introduction to Flume
? Uses of Flume
? Flume Architecture
o Flume Master
o Flume Collectors
o Flume Agents

2 Project Explanations with Architecture

Who should attend

Degree and Above, Btech

Pre-requisites

Degree and Above, Btech
knowledge JAVA advantage but not mandatory.

What you need to bring

Note book

Key Takeaways

E-books, 2 real time projects exposures, resume etc.
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Hadoop Training in Hyderabad

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Hadoop Training in Hyderabad

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About the Trainer

Praveen

MCA from Osmania University at 2003, Hyderabad, India.


Introduction about Faculty

� 11+ years of professional experience in software design and development. Worked on multiple projects in fast paced, dynamic, and highly demanding environment with diversified technologies like JAVA & J2EE (8+) and Hadoop (3+)

� Proficient in various phases of software development including system analysis, design, development, testing, & support applications using different areas of J2EE stack in scrum and agile processes.

� Full System Development Life Cycle (SDLC) experience including: gathering requirements, analysis of requirements, design, development, documentation, deployment and testing.

� Extensively worked on open source control frameworks Struts 1.x and ATG

� Extensive hands on experience with working level knowledge on Big data and NoSQL (Not Only SQL) technologies including: Hadoop, PIG, Hive, HBase, SQOOP, Map Reduce using Java, HDFS, Master-Slave architectural model, Clustering, Node management etc.


� Solid experience in building n-tier web enabled GUI applications using Ajax, JSPs, Servlets, ORACLE, IBM DB2, & MS SQL Server with adeptness on application servers; JBoss, WebLogic, WebSphere, ATG & Tomcat.

� Hands-on experience with industry-standard IDEs like Eclipse and IntelliJ, RAD and expert level skills in application programming using Java, Servlets and JDBC.

� Strong experience utilizing various XML parsers in J2EE solutions (DOM, SAX, and XSLT) and knowledge in developing Web Services using SOAP, WSDL and XML.

� Strong experience in handling different Web Servers likes Apache Tomcat and Application Servers like Web Sphere, BEA Web Logic, ATG and JBOSS.

� Experience in developing Web services in Java using XML, SOAP, WSDL and UDDI and Well versed in writing JUnit Test cases.

� Good knowledge with CVS, SVN, Team Site and Synergy version control systems.

� Proficiency in Integrated Development Environments; RAD, Eclipse, & NetBeans with good insight of the following protocols; HTTPS, TCP/IP, FTP, REST and SOAP.

� Strong in Object Oriented Analysis and Design techniques.

� Good communication and inter-personal skills, accustomed to working in a team environment with tight schedules and capable of working efficiently under pressure, manage multiple projects and train sub-ordinates.
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Course Id: 27686