As BIG DATA is catching up, the adoption of Apache HADOOP Technology is creating waves worldwide. Apache HADOOP has been designed to control the threat of BIG DATA productively. The demand for HADOOP trained professionals is progressively rising. More and more IT professionals, both specialists and generalists, are showing a growing urge to learn and upgrade themselves with this new tool. Bearing this in mind, Blink Education has now come up with a unique training program.
Program Features:1. Training in Hadoop along with a Cloudera certification 2. Course Duration is just 30 days (including weekends) 3. Course Fees - 500$4. Placement assistance services is given as an additional benefit5. Classroom as well as practical lab sessions facility is also available
-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
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
TheMagnific training includes a team of expert Solution Architects who work with our customers on a wide range of business and technical items. The team provides guidance and hands-on help on a number of topics; including, comprehensive design review of your current system and plans, operational guidance for running TCloud Big Data Analysis, and recommendations on connecting TCloud Big Data Analysis to your existing IT infrastructure.
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.
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.
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
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.
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.
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
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