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Hadoop essentials

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Kothanur, Bangalore

Course ID: 32310

Kothanur, Bangalore

Students Interested 0 (Seats Left 0)

₹ 6,900

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Syam

MCA

About Syam

12 years of rich IT industry experience.
4 years of training experience.

Well versed with class room and online trainings.

Expertise on BigData Hadoop – MapReduce, Hive, Pig and HBase technologies.
Expertise on Java J2EE Spring, Hibernate, SOAP and REST Web Services.
Expertise on Vaadin UI Framework.
Delivered training overseas.
Application development assignments with real-time scenarios.
Tips n Tricks for better productivity.


Corporate Experience
Technical (Java JEE Hadoop) Coach & Consultant, Peppy Learning Solutions, Bangalore from Jan 17 to Till Date.
Fortunetech Solutions, Head of Operations - India, Bangalore from Jan 16 to Sep 16.
Cerner Corporation, Software Architect, Bangalore from Nov 14 to May 2015 ().
Please refer my Linked In profile for complete list of my IT experience.

Skills / Tools
OS Platforms
Windows, UNIX
Hadoop Stack
HDFS, Hive, Pig, Flume, Solr, Cloudera, HDInsight, Redis
Pgmg Languages
Java, PL/SQL, MapReduce
Web Technologies
Servlets, JSP, HTML, XML, AJAX, JavaScript, Web Services
Databases
DB2, MySQL and ORACLE
Tools
SubVersion, TOAD, Eclipse, ANT, Maven, Jenkins, SonarQube
Frameworks
Struts, Spring, Grails, Vaadin UI, Hibernate
Servers
Tomcat, WebLogic, WebSphere.
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About the Course

Hadoop Introduction
1 Session - 4 Hours
• What is Big Data?
• Source of Data
• Characteristics of Big Data
• Benefits of Big Data analysis
• Challenges in Big Data processing
• Why Hadoop for Big Data?
• Introduction to Hadoop
• Hadoop not good for …
• Hadoop Ecosystem
• Hadoop Installation
Hadoop Distribute File System
(HDFS)
1 Session - 4 Hours
• Hadoop Distributed File System (HDFS)
• HDFS Architecture
• Types of Nodes in HDFS
• Data Flow
• HDFS Block
• HDFS Federation
• HDFS High Availability (HA)
• HDFS Commands
• Hadoop Archives
• HDFS Accessibility
MapReduce Framework
1 Session - 4 Hours
• MapReduce Introduction
• How does MapReduce work?
• MapReduce Program
• MapReduce program execution
• MapReduce program Unit Testing
• Behind the Scenes : MapReduce
2 Session - 4 Hours
• Hadoop streaming
• Combiner
• Partitioner
• Counters

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