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Magnific training is an organization of learners who aim to advance individual and organizational competitiveness by acquiring and applying right knowledge.

Visit: www.hadooponlinetraining.net

Apache Hadoop 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 www.hadooponlinetraining.net

please mail us all queries to info@magnifictraining.com

Big data e-learning Contact: +91-9052666559

The Magnific Training Big Data Analysis training and Service provides sophisticated analytics and transformation of both structured and unstructured, complex data. 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 online training | Big data developer training

Magnific Training: Cloudera Administrator Training for Apache Hadoop, 
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Course Summary

This 30days hands-on training course is for system administrators and others responsible for managing Apache Hadoop clusters in production or development environments.

How the Hadoop Distributed File System and MapReduce work
What hardware configurations are optimal for Hadoop clusters
What network considerations to take into account when building out your cluster
How to configure Hadoop's options for best cluster performance
How to configure NameNode High Availability
How to configure NameNode Federation
What system administration issues exist with other Hadoop projects such as Hive, Pig, and HBase
Prerequisites
This course is appropriate for system administrators who will be setting up or maintaining a Hadoop cluster. Basic Linux system administration experience is a prerequisite for this training session. Prior knowledge of Hadoop is not required.

Hands-On Exercises
Throughout the course, hands-on labs help students build their knowledge and apply the concepts being discussed.

Certification Exam
Following successful completion of the training class, attendees will be given a voucher for one certification exam attempt. This voucher is non-transfearable and is given only to individuals who successfully complete the entire training class. Learn more about the CCAH certification exam.

Outline:

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.bigdataonlinetraining.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.bigdataonlinetraining.net

please mail us all queries to info@magnifictraining.com

Big data online training | Hadoop online tutorial

MAGNIFIC trainings are pioners in offering real time industrail experts hands on training on HADOOP BIG DATA online TRAINING.
 HADOOP technologies like HADOOP, ADOBE, BIG DATA, analytics training, SAP through webex ,team viewer & skype to serve the 
requests coming from all over the world.

Course Contents:
1. Big Data
The problem space and example applications
Why don’t traditional approaches scale?
Requirements.

Visit: www.hadooponlinetraining.net

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.

5. MapReduce Introduction
Key philosophy: move computation, not data
Core concepts: Mappers, reducers, drivers
The MapReduce Java API.

6. Real-World MapReduce
Optimizing with Combiners and Partitioners 
More common algorithms: sorting, indexing and searching 
Relational manipulation: map-side and reduce-side joins 
Chaining Jobs
Testing with MRUnit.

7. Higher-level Tools
Patterns to abstract “thinking in MapReduce”
The Cascading library 
The Hive database.

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

Big data online tutorial | Big data online clases

"This article is focused on explaining Big Data and then providing simple worked examples in Hadoop, the major open-source player in the Big Data space. You'll be happy to hear that Hadoop.but in fact plays nicely with the existing infrastructure. There are multiple components in the Hadoop family and this article will drill down to specific code samples that show the capabilities. No Elephants will stampede if you try these examples on your own PC." in MAGNIFIC TRAINING.

Big Data Analytics Training Big data analytics is the process of examining large amounts of data of a variety of types (big data) to uncover hidden patterns, unknown correlations and other useful information. Such information can provide competitive advantages over rival organizations and result in business benefits, such as more effective marketing and increased revenue. What You will Learn Unleash the power of Big Data! Enhance big data analytics skills Enrich analytic skills Key Roles Phases of Life cycle process Key Deliverables to stakeholders Audience.

Visit: www.bigdataonlinetraining.net

Application Developers Business Analysts BI / Data warehouse Developers Technical Consultants Enterprise Architects Technical Project Managers Prerequisites Suggested Prerequisites – Relational Database concepts, Data Warehousing concepts, RDMS, OLTP, OLAP, ROLAP, MOLAP, Star Schema, Facts, Dimensions etc. Course Objectives Explain the concepts of Big Data and related technologies Understand What is Big Data Big Data Market – Big Picture Big Data Tools Big Data – Reference Architectures Big Data Solutions.

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.bigdataonlinetraining.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.bigdataonlinetraining.net

please mail us all queries to info@magnifictraining.com