Big data training in Qatar | Hadoop training in Dubai

Hadoop Development Fundamentals Training Course

1. Big Data

• The problem space and example applications
• Why don’t traditional approaches scale?
• Requirements

2. Hadoop Background

• Hadoop History
• The ecosystem and stack: HDFS, MapReduce, Hive, Pig…
• Cluster architecture overview

3. Development Environment

• Hadoop distribution and basic commands
• Eclipse development

4. HDFS Introduction

• The HDFS command line and web interfaces
• The HDFS Java API (lab)

5. MapReduce Introduction

• Key philosophy: move computation, not data
• Core concepts: Mappers, reducers, drivers
• The MapReduce Java API (lab)

6. Real-World MapReduce

• Optimizing with Combiners and Partitioners (lab)
• More common algorithms: sorting, indexing and searching (lab)
• Relational manipulation: map-side and reduce-side joins (lab)
• Chaining Jobs
• Testing with MRUnit

7. Higher-Level Tools

• Patterns to abstract “thinking in MapReduce”
• The Cascading library (lab)
• The Hive database (lab)

Hadoop Online Training

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.
visit www.hadooponlinetraining.net
please mail us all queries to info@magnifictraining.com

Big data Fast track training | Big data training

Big data Fast trach training | Magnific 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

Big data training; free training videos

Course highlights :

Indepth personalized training

Extensive curriculum

World class lab ( Development on standalone system and 

distributed clusters)

Real time scenarios

Indepth Documentation with real time references for 

reference.

Resume Preparation

Interview preparation

Hadoop course content:

1) Introduction to Distributed systems

·        High Availability

·        Scaling

·        Advantages

2) Introduction to Big Data

·        Big Data opportunities

·        Big Data Challenges

3) Introduction to Hadoop

·        Hadoop Distributed File System

·        Hadoop Architecture

·        Map Reduce & HDFS

4) Hadoop Eco Systems

·        Introduction to Pig

·        Introduction to Hive

·        Introduction to HBase

·        Other eco system Map

5) Hadoop Administration

·        Hadoop Installation & Configuration

·        Setting up Standalone system

·        Setting up pseudo distributed cluster

·        Setting up distributed cluster

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

Big data online training

India could be one of the biggest suppliers of manpower for the ‘Big Data’ industry. ... Also by 2016, Indian offshore IT service providers will nearly triple their onsite hiring due to the increasing protectionism adopted by many countries, especially in Western Europe.

Visit: www.hadooponlinetraining.net

Big data is an open source software project that enables the distributed processing of large data sets across clusters of commodity servers. It is designed to scale up from a single server to thousands of machines, with a very high degree of fault tolerance. Rather than relying on high-end hardware, the resiliency of these clusters comes from the software’s ability to detect and handle failures at the application layer.
Why Hadoop?
Hadoop changes the economics and the dynamics of large scale computing. Its impact can be boiled down to four salient characteristics.
Hadoop enables a computing solution that is:
-Scalable
-Cost effective
-Flexible.
-Fault tolerant
Who uses Hadoop?
Even if the most known Hadoop suite is provided by a very specialized actor named Cloudera (also by MapR, HortonWorks, and of course Apache), big vendors are positioning themselves on this technology. Companies who use Hadoop are Facebook, Apple, Twitter, eBay, Amazon, IBM, Accenture, Microsoft, Dell, Hitachi, Fujitsu, Informatica, Oracle, Capgemini, Intel, Seagate and many more.

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 wwww.hadooponlinetraining.net

please mail us all queries to info@magnifictraining.com

Hadoop-Big data | training

Magnific Training design customized training services. According to actual learning needs, you can choose courses of special interests, in-depth technologies, and methods of delivery to reflect needs in your business strategy. TCloud Computing instructional designers can tailor the training content to include examples and scenarios relative to your needs. 

Visit: www.magnifictraining.com

Hadoop Training Course Content:

1. Understanding Big Data – What is Big Data ?

• Real world issues with BIG Data – Ex: How facebook manage peta bytes of data.

• Will regular traditional approach works?

2. How Hadoop Evolved

• Back to Hadoop evolution.

• The ecosystem and stack: HDFS, MapReduce, Hive, Pig…

• Cluster architecture overview

3. Environment for Hadoop development

• Hadoop distribution and basic commands

• Eclipse development

4. Understanding HDFS

• Command line and web interfaces for HDFS

• Exercises on HDFS Java API

5. Understanding MapReduce

• Core Logic: move computation, not data

• Base concepts: Mappers, reducers, drivers

• The MapReduce Java API (lab).

  
  
  
  
  

6. Real-World MapReduce

• Optimizing with Combiners and Partitioners (lab)

• More common algorithms: sorting, indexing and searching (lab)

• Relational manipulation: map-side and reduce-side joins (lab)

• Chaining Jobs

• Testing with MRUnit

7. Higher-level Tools

• Patterns to abstract “thinking in MapReduce”

• The Cascading library (lab)

• The Hive database (lab)

Interested ? Enroll into our online Apache Hadoop training program now.

Big Data-Hadoop online training (www.hadooponlinetraining.com)

Magnific training: Hadoop/Big Data online trainings are specially designed for students from NON-IT.Special steps would be taken for students from NON-IT background to make them understand the concepts like Hadoop from the very basics.



So you are going to need an Hadoop admin.

Who are the candidates for the position? Best option is to hire an experienced Hadoop admin. In 2-3 years no one will even consider doing anything else. But right now there is an extreme shortage of Hadoop admins, so we need to consider less perfect candidates.
The usual suspects tend to be: Junior java developers, sys admins, storage admins and DBAs.

When we get to the operations personel – storage admins are usually out of consideration because their skillset is too unique and valuable at other parts of the organization. I’ve never seen a storage admin who became an Hadoop admin, or any place where it was even seriously considered.

To be fair, sysadmins also have important advantages:

 

They typically have more experience managing huge number of machines. Much more so than DBAs. They have experience working with configuration management and deployment tools (puppet, chef), which is absolutely critical when managing large clusters. They can feel more comfortable digging in the OS and network when configuring and troubleshooting systems, which is important part of Hadoop administration.

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.magnifictraining.com

please mail us all queries to info@magnifictraining.com