Magnific Training Plasma Towers, Madhapur, Hi-Tech city, Hyderabad, INDIA. Ph No: 91 – 9052666559.

Friends

Contact For Hadoop training and placement@ +91-9052666559

Hadoop Online Training By IT Experts :
Magnific training facility offers Hadoop Online Training. Our Hadoop trainers come with vast work experience and teaching skills. Our Big Data Hadoop training online is regarded as the one of the Best online training in India. All our students were happy and able to find Jobs quickly in USA, UK, Singapore, Japan, Europe. Hadoop training online is your one stop solution to learn Hadoop at the comfort of your home with flexible schedules.
Hadoop Online Training Concepts :
HADOOP BASICS
1.The Motivation for Hadoop
1.Problems with traditional large-scale systems
1.Data Storage literature survey
2.Data Processing literature Survey
3.Network Constraints
2.Requirements for a new approach
3.Hadoop: Basic Concepts
1.What is Hadoop?
2.The Hadoop Distributed File System
3.Hadoop Map Reduce Works
4.Anatomy of a Hadoop Cluster
4.Hadoop demons
1.Master Daemons
1.Name node
2.Job Tracker
3.Secondary name node
2.Slave Daemons
1.Job tracker
2.Task tracker
5.HDFS(Hadoop Distributed File System)
1.Blocks and Splits
1.Input Splits
2.HDFS Splits
2.Data Replication
1.Hadoop Rack Aware
3.Data high availability
4.Cluster architecture and block placement.

visit http://www.hadooponlinetraining.net/

Hadoop training and placement | training videos

Magnific training Tutorial and Training Videos

Begin your MapR training or sharpen your skills with free online educational resources at Magnific Video Academy: a comprehensive library of videos, recorded webinars, and other materials to help you learn Hadoop at your own pace.



What is Hadoop?

This video introduces Hadoop, the MapReduce programming model, and the applications that Hadoop makes possible. You will cover the Ecosystem of Hadoop tools and how Hadoop is different from previous distributed computing approaches. This is an ideal video to preview for beginners new to Hadoop. 

 Intro to MapReduce

This video introduces MapReduce concepts and walks step-by-step through the flow of a MapReduce program. It also covers common variations of MapReduce programs.

 MapReduce Programming Demo

This video walks through the Java code for an example MapReduce Program and then demonstrates how to run the Hadoop job on a MapR cluster.

 MapReduce Programming Details

This video builds on MapReduce Programming Demo and digs deeper into MapReduce features to help developers get started. You will explore a complex MapReduce example that uses multiple stages of MapReduce to detect credit-card fraud.

Why MapR?

This video explores how MapR fits into the overall Hadoop landscape. You will explore common applications of real-world MapR customers and learn about MapR differentiators that benefit Hadoop analysts, developers, and administrators.

or full course details please visit our website www.hadooponlinetraining.net

Duration for course is 30 days or 45 hours and special care will be taken. It is a one to one training with hands on experience.

* Resume preparation and Interview assistance will be provided.
For any further details please 

contact India +91-9052666559
         Usa : +1-678-693-3475.


please mail us all queries to info@magnifictraining.com

.

Magnific training : Hadoop training in New York

Course Summary
Magnific training is offering this 3 day extensive class on Hadoop platforms. We have a team of experienced instructors who have worked extensively in Hadoop & Cassandra platforms, and have deployed various clustering software packages internationally to fortune 500 clients.

This is a fast paced, vendor agnostic, technical overview of the Hadoop landscape. No prior knowledge of databases or programming is assumed. This course is targeted towards both technical and non-technical people who want to understand the emerging world of Big Data, with a specific focus on Hadoop. 
Students will experience real Hadoop clusters and the latest Hadoop distributions. By default, we use Cloudera’s latest Hadoop distribution. However, based on demand, we can use also use Hortonworks, MapR, and Hadoop on Windows Azure.

Ecosystem Components Covered
HDFS, MapReduce, Pig, Hive, Oozie, HBase

Objectives
- Introduce students to the core concepts of Hadoop
- Deep dive into the critical architecture paths of HDFS, MapReduce and HBase
- Teach the basics of how to effectively write Pig and Hive scripts
- Explain how to choose the correct use cases for Hadoop
- Give each student access to an individual 1-node Hadoop cluster in Rackspace to run through some hands-on labs for the 5 software components: HDFS, MapReduce, Pig, Hive, HBase
- Provide links to the best books, blog posts and videos for students to learn more about Hadoop on their own.

Trainer:

This course is taught by CrinLogic trainers. All our trainers are practitioners with multiple years of hands-on experience with the Apache Hadoop ecosystem. We believe the best training is delivered by those who impart their real world experiences, successes and failures to their students. 

Prerequisites:

Students must bring their own laptop capable of running a 1GB virtual machine. The virtual machine is provided. 
- See more at:  

or full course details please visit our website www.hadooponlinetraining.net

Duration for course is 30 days or 45 hours and special care will be taken. It is a one to one training with hands on experience.

* Resume preparation and Interview assistance will be provided.
For any further details please 

contact India +91-9052666559
         Usa : +1-678-693-3475.


please mail us all queries to info@magnifictraining.com

Hadoop training in ncr (Delhi,Noida, Gurgon )

Cloudera Developer Training for Apache Hadoop in NCR

Big data :HADOOP training in delhi NCR: Magnific training

More detail visit www.hadooponlinetraining.net
contact Ph: 9+91-9052666559
email: info@imagnifictraining.com
HADOOP–A DISTRIBUTED PROGRAMMING
  • FRAMEWORK
  • Introducing Hadoop
  • Starting Hadoop
  • Components of Hadoop
HADOOP
  • Writing basic MapReduce programs
  • Advanced MapReduce
  • Programming Practices
  • Managing Hadoop
  • Running Hadoop in the cloud
  • Programming with Pig
  • Hive and the Hadoop herd
  • Case studies

Call for free Hadoop training | +91-9052666559

Hadoop-Big data training

Introduction
The Case for Apache Hadoop
HDFS
Getting Data into HDFS
MapReduce
Planning Your Hadoop Cluster
Hadoop Installation and Initial Configuration
Installing and Configuring Hive, Impala, and Pig
Hadoop Clients
Cloudera Manager
Advanced Cluster Configuration
Hadoop Security
Managing and Scheduling Jobs
Cluster Maintenance
Cluster Monitoring and Troubleshooting
Conclusion.
You can attend 1st 2 classes or 3 hours for free. once you like the classes then you can go for registration.
or full course details please visit our website 

www.hadooponlinetraining.net


Duration for course is 30 days or 45 hours and special care will be taken. It is a one to one training with hands on experience.
 


* Resume preparation and Interview assistance will be provided.
For any further details please contact
+91-9052666559 or
visit 

www.hadooponlinetraining.net

please mail us all queries to info@magnifictraining.com


Hadoop training and placement

Hadoop training: Outline
Introduction
The Case for Apache Hadoop
  • A brief history of Hadoop
  • Core Hadoop components
  • Fundamental concepts
The Hadoop Distributed File System
  • HDFS features
  • HDFS design assumptions
  • Overview of HDFS architecture
  • Writing and reading files
  • NameNode considerations
  • An overview of HDFS security
  • Hands-On Exercise
MapReduce
  • What is MapReduce?
  • Features of MapReduce
  • Basic MapReduce concepts
  • Architectural overview
  • Failure recovery
  • Hands-On Exercise
An Overview of the Hadoop Ecosystem
  • What is the Hadoop ecosystem?
  • Integration tools
  • Analysis tools
  • Data storage and retrieval tools
Planning your Hadoop Cluster
  • General planning considerations
  • Choosing the right hardware
  • Network considerations
  • Configuring nodes
Hadoop Installation
  • Installing Hadoop
  • Using Cloudera Manager for easy installation
  • Basic configuration parameters
  • Hands-On Exercise
Advanced Configuration
  • Advanced parameters
  • Configuring rack awareness
  • Configuring Federation
  • Configuring High Availability
Managing and Scheduling Jobs
  • Managing running jobs
  • Hands-On Exercise
  • The FIFO Scheduler
  • The FairScheduler
  • Configuring the FairScheduler
  • Hands-On Exercise
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 upgrading
Cluster Monitoring and Troubleshooting
  • General system monitoring
  • Managing Hadoop’s log files
  • Using the NameNode and JobTracker Web UIs
  • Hands-On Exercise
  • Cluster monitoring with Ganglia
  • Common troubleshooting issues
  • Benchmarking your cluster
Populating HDFS from External Sources
  • An overview of Flume
  • Hands-On Exercise
  • An overview of Sqoop
  • Best practices for importing data
Installing and Managing Other Hadoop Projects
  • Hive
  • Pig
  • HBase.

You can attend 1st 2 classes or 3 hours for free. once you like the classes then you can go for registration.

or full course details please visit our website www.hadooponlinetraining.net
 
Duration for course is 30 days or 45 hours and special care will be taken. It is a one to one training with hands on experience.
 
* Resume preparation and Interview assistance will be provided. 

For any further details please contact +91-9052666559 or 

please mail us all queries to info@magnifictraining.com

Hadoop training in usa

We enable you to impart IT education in USA, learning and teaching services to interact with individual students, learners and corporate organizations across the world while imparting Hadoop training courses and programs. We provide you an efficient opportunity to learn the world-class teaching models in IT training arena.
                       We are providing Classroom, online training & corporate training, hands on Training in USA.

Magnific training is into Consulting, Outsourcing & Corporate Training
Training cum Placement Program on HADOOP

Visit: www.hadooponlinetraining.net

Hadoop, the open source data management software that helps organizations analyze massive volumes of structured and unstructured data, is a very hot topic across the tech industry. Employed by such big named websites as eBay, Facebook, and Yahoo, Hadoop is being tagged by many as one of the most desired tech skills for 2012 and coming years along with Cloud Computing.
What participants will learn?
The attendees will learn below topics through lectures and hands-on exercises
– Understand Big Data & Hadoop Ecosystem
– Hadoop Distributed File System – HDFS
– Use Map Reduce API and write common algorithms
– Best practices for developing and debugging map reduce programs
– Advanced Map Reduce Concepts & Algorithms
– Hadoop Best Practices & Tip and Techniques
– Managing and Monitoring Hadoop Cluster
– Importing and exporting data using Sqoop
– Leverage Hive & Pig for analysis
– Running Hadoop on Cloud
Just want to inform you that we are conducting an Training cum Placement Program for all fresher’s. And we are providing 100% Job Assurance, will provide you unlimited interview calls based on the requirement flow and openings.
We are tied up with some mid-sized companies, so in any one of the companies we can place based on your performance.
You can attend 1st 2 sessions for free. once you like the classes then you can go for registration.


or full course details please visit our website 

www.hadooponlinetraining.net

Duration for course is 30 days or 45 hours and special care will be taken. It is a one to one training with hands on experience.


* Resume preparation and Interview assistance will be provided.
For any further details please contact
INDIA: +91-9052666559
USA: +1-6786933475

visit 

www.hadooponlinetraining.net

please mail us all queries to info@magnifictraining.com

Twitter Delicious Facebook Digg Stumbleupon Favorites More