Hadoop


Who We Are

Prime Bit Solutions is a trusted institute offering the best Telecom Training Courses for Freshers, RF Engineers, OSS & BSS Engineers, Optimization Engineers, O&M Engineers & Technical support Engineers. We collaborate with partners who recognize the value we bring to Telecom Domain. We offer industry standard Telecom Training to our students, which includes comprehensive study material and real time simulations. Primebit believes in empowering the youth by making them strong not only in concepts but also providing hands-on experience in addressing real-time issues. Considering the importance of the telecom industry, Primebit commits to high standards of integrity in contributing to the best interests of students, and Telecom professionals. We thoroughly understand the need to have a solid foundation of concepts in wireless and wireline technologies. Primebit offers training on concepts by real time experts who have vast industry experience; the training program is affordably priced and is guaranteed to benefit all the current and prospective engineers in telecom domain.


What We Do

We thoroughly understand the need to have a solid foundation of concepts in wireless and wireline technologies. We offer telecommunication training and telecom testing training to our students, which include comprehensive study material and real time simulations. Considering the importance of the telecom industry, Primebit commits to high standards of integrity in contributing to the best interests of students, Telecom professionals. We collaborate with partners who recognize the value we bring to Telecom Domain.

Goal of Course

Good understanding of Different technologies- UMTS, HSDPA,HSUPA,HSPA+, LTE, LTE Advance, IMS, Voip, SIP and Bluetooth
Expertise Access and Non-Access stratum modules (Layer3/Layer2/layer1) mandatory for 2G/3G /4Gprotocol stack modules.
Expertise in RRM, RRC, RLC/MAC, MM, SNDCP, SPV, SNDCP, Layer2, etc
Very good overview of relevant module specifications Good experience understanding and decoding the 3GPP
Understanding of Call Processing concepts in one or more of the following air interface standards LTE(FDD or/and TDD) or HSDPA/ HSUPA/HSPA+,GSM/ GPRS /EDGE / Rel99/ Rel5 /rel8/rel9
Expertise in analyzing logs, troubleshooting issues from field or lab for UMTS/GSM CS, PS calls, LTE Data calls, VoLTE, eMBMS
Excellent knowledge in 2G/3G/4G 3GPP system architecture, protocol specifications and related procedures in control and data plane on Non-Access, Acces-Stratum and Layer 1 level
Good understanding of of PS internal component architecture and interconnection of PS sub-components to meet the requirements of the system for Multimode Protocol Stacks
Monitor and support 3GPP UMTS/LTE related standards and standardization work
Expertise in scripting languages C language/ Unix & Linux

Target Audience

Freshers, RF Engineers,OSS & BSS Engineers, Optimization Engineers, O&M Engineers & Technical support Engineers who have wish to shift their career into Wireless Chip Development.

Prerequisites

It is strongly recommended that candidates must have basic idea of C programming and Wireless concept.

Introduction to Hadoop

What is cloud computing


What is Grid computing


What is Virtualization


Interrelation between cloud computing, grid computing, virtualization


What is Big data


What is analytics


Hadoop solutions


Hadoop distributions


Difference between Hadoop and other Traditional systems


Volunteer Computing


Data Retrieval


Difference Between Random Access and Sequential Access


Databases(No SQL)

Basic Concepts

What is Hadoop?


Hadoop Distributed File System


Working of MapReduce


Anatomy of a Hadoop Cluster


Hadoop Demons

Namenode


Datanode


Secondary namenode


Job tracker


Task tracker


HDFS at details

Blocks and Splits


Replication


Data high availability


Data Integrity


Cluster architecture and block placement


Programming and Performance Tunning

Developing MapReduce Programs in


Local Mode


Pseudo-distributed Mode


Fully distributed mode



MapReduce Programming

Examining a Sample MapReduce Program


Basic API Concepts


The Driver Code


The Mapper


The Reducer


Hadoop's Streaming API

Hadoop Cluster

Install and configure Apache Hadoop


Make a fully distributed Hadoop cluster on a single laptop/desktop


Install and configure Cloudera Hadoop distribution in fully distributed mode


Install and configure Horton Works Hadoop distribution in fully distributed mode


Monitoring the cluster


Getting used to management console of Cloudera and Horton Works


Hadoop Security

Hadoop importance


What Kerberos Is and How it Works


Configuring Kerberos Security


Integrating a Secure Cluster with Other Systems


Managing and Scheduling Jobs

Managing Running Jobs


Hands-On Exercise


The FIFO Scheduler


The Fair Scheduler


Configuring the Fair Scheduler


Cluster Maintenance

Checking HDFS Status


Hands-On Exercise


Copying Data between Clusters


Adding and Removing


Cluster Nodes


Rebalancing the Cluster


Hands-On Exercise


NameNode Metadata Backup


Cluster Monitoring and Troubleshooting

General System Monitoring


Managing Hadoop's Log Files


Using the NameNode


JobTracker Web UIs


Hands-On Exercise


Cluster Monitoring with Ganglia


Common Troubleshooting Issues


Benchmarking Your Cluster


Date Session Type Timing
June 02 Online
June 02 Weekend Online Batch
June 02 Class Room

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