top training institute for Hadoop

Hadoop Dur: 45hrs
S4 TRANING & IT CONSULTANTS is a Standard Hadoop Learning Center. S4 TRANING & IT CONSULTANTS Offers its students a range of technical/functional Hadoop courses in accordance with Indusrty standards. Hadoop introduces a new, student centric approach to training: a range of interactive web-based courses designed specifically to deliver effective knowledge transfer whenever it is needed. These courses are targeted to working professionals, experienced consultants, and new graduates
S4 TRANING & IT CONSULTANTS provides Training & Placements
Hadoop Course Content

Introduction to Big Data and Hadoop
• What is Big Data?
• What are the challenges for processing big data?
• What technologies support big data?
• Distributed systems
• What is Hadoop?
• Why Hadoop?
• History of Hadoop
• Use Cases of Hadoop
• Hadoop eco System
• HDFS
• Map Reduce
• Statistics

Understanding the Cluster
• Typical workflow
• Writing files to HDFS
• Reading files from HDFS
• Rack Awareness
• 5 daemons

Best Practices for Cluster Setup
• Best Practices
• How to choose the right hadoop distribution
• How to choose right hardware

Cluster Setup
• Install Pseudo cluster
• Install Multi node cluster
• Configuration
• Setup cluster on Cloud - EC2
• Tools
• Security
• Benchmarking the cluster

Routine Admin procedures
• Metadata & Data Backups
• Filesystem check (fsck)
• File system Balancer
• Commissioning and decommissioning nodes
• Upgrading
• Using DFSAdmin

Monitoring the Cluster
• Using the Web user interfaces
• Hadoop Log files
• Setting the log levels
• Monitoring with Nagios

Install ,Configure and use
• PIG
• HIVE
• HBASE
• Flume and Sqoop
• Zookeeper

Hadoop Developer
Introduction to Big Data and Hadoop
• What is Big Data?
• What are the challenges for processing big data?
• What technologies support big data?
• Distribution systems.
• What is Hadoop?
• Why Hadoop?
• History of Hadoop
• Use Cases of Hadoop
• Hadoop eco System
• HDFS
• Map Reduce
• Statistics

Understanding the Cluster
• Typical workflow
• Writing files to HDFS
• Reading files from HDFS
• Rack Awareness
• 5 daemons

Developing the Map Reduce Application
• Configuring development environment - Eclipse
• Writing Unit Test
• Running locally
• Running on Cluster
• MapReduce workflows

How MapReduce Works
• Anatomy of a MapReduce job run
• Failures
• Job Scheduling
• Shuffle and Sort
• Task Execution

MapReduce Types and Formats
• MapReduce Types
• Input Formats - Input splits & records, text input, binary input, multiple inputs & database input
• Output Formats - text Output, binary output, multiple outputs, lazy output and database output

MapReduce Features
• Counters
• Sorting
• Joins - Map Side and Reduce Side
• Side Data Distribution
• MapReduce Combiner
• MapReducePartitioner
• MapReduce Distributed Cache

Hive and PIG
• Fundamentals
• When to Use PIG and HIVE
• Concepts

HBASE
• CAP Theorem
• Hbase Architecture and concepts
• Programming
Contact Us:

Web Site: www.s4foru.com
Contact No: +91 8686816817
Email id: [email protected]
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Chaitanyapuri Cross roads, Dilshukhnagar, Hyderabad.
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