cloudera Hadoop training in usa

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 For any further details please contact 
INDIA: +91-9052666559
USA: +1-6786933475 or 
visit www.hadooponlinetraining.net
please mail us all queries to info@magnifictraining.com
   

Highlights:

ü  Economical and Affordable
ü Choose your convenient time
ü Get professionally trained
ü Personal care each Trainee
 

Features of our Training:

• Study Material
• Real Time Examples and Methodologies
• Example Case Studies
• Interview Tips, Questions and Guidance
• Weekly Feedback Collection

Advanced Hadoop Training completes the three day training course and teaches advanced skills for debugging MapReduce programs and optimizing their performance.
Module: Debugging MapReduce programs
Debugging in the distributed environment is challenging. This lecture will expose you to best practices for program design to mitigate debugging challenges, as well as local testing tools and techniques for debugging at scale.
Module: Advanced Hadoop API
In the basic training session, you learned how to get up and running writing Hadoop MapReduce programs in Java. This lecture probes deeper into the API, covering custom data types and file formats, direct HDFS access,  intermediate data partitioning, and other tools such as the DistributedCache.
Module: Advanced Algorithms
This lecture introduces some graph algorithms that can be adapted for your needs, as well as more involved examples like PageRank. We'll also look at strategies for implementing joins efficiently, and compare different techniques that are appropriate to different data models.
Exercise:    Optimizing MapReduce Programs
We'll use the Training VM to work through an example where you write a MapReduce program and improve its performance using techniques explored earlier.

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

Free demo- cloudera Hadoop training

About the Institute : 
Magnific training operates with a vision to provide high-quality Cloudera hadoop training to its corporate clients through innovative and pioneering processes. Our programs are focused on helping organizations meet or exceed operational performance goals in terms of Effectiveness, Efficiency and Excellence. We continuously strive to equip our corporate clients with knowledge, expertise and skills that help their staff enhance productivity and the quality of their work. 

We are looking for candidates with Bachelors, Masters Degree with any discipline of science and Engineering like Computers/ MIS etc.
We welcome talented and enthusiastic candidates who wanted to have an excellent career opportunity with our global clients.
                                   
Course: Big data,HADOOP ,Sql dba,msbi
Trainer: Experienced in the Industry
Duration: 30 Days
Demo: Call for DEMO
Payment: Free for MS Students
Location: Online
Placement: Guaranteed
Contracts: Employment at Will.
Contact Our HR @ 9052666559
                   
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Oracle /SAP HR
PeopleSoft Workday
Hadoop,
SQL Server, Informatica,

 

Benefits

Quality Training
Guaranteed Placements
Interview Support Assistance
Job Support Assistance.

Cloudera Hadoop training | Magnific training

magnific  training course for Cloudera  Hadoop provides a comprehensive knowledge of technologies, architecture, administration, deployment and development in Hadoop cluster. Specifically, we will cover different Hadoop services, configurations, best practices, and lab in which attendees can practice different components (HDFS, MapReduce, Pig, Hive and HBase) of Hadoop.

Visit: www.hadooponlinetraining.net

Cloudera Hadoop Training completes the three day training course and teaches advanced skills for debugging MapReduce programs and optimizing their performance.

Module: Debugging MapReduce programs
Debugging in the distributed environment is challenging. This lecture will expose you to best practices for program design to mitigate debugging challenges, as well as local testing tools and techniques for debugging at scale.
Module: Advanced Hadoop API
In the basic training session, you learned how to get up and running writing Hadoop MapReduce programs in Java. This lecture probes deeper into the API, covering custom data types and file formats, direct HDFS access,  intermediate data partitioning, and other tools such as the DistributedCache.
Module: Advanced Algorithms
This lecture introduces some graph algorithms that can be adapted for your needs, as well as more involved examples like PageRank. We'll also look at strategies for implementing joins efficiently, and compare different techniques that are appropriate to different data models.
Exercise:    Optimizing MapReduce Programs
We'll use the Training VM to work through an example where you write a MapReduce program and improve its performance using techniques explored earlier.

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

Cloudera Hadoop training and placement

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.

Visit: www.hadooponlinetraining.net

Advanced Hadoop Training completes the three day training course and teaches advanced skills for debugging MapReduce programs and optimizing their performance.
Module: Debugging MapReduce programsDebugging in the distributed environment is challenging. This lecture will expose you to best practices for program design to mitigate debugging challenges, as well as local testing tools and techniques for debugging at scale.
Module: Advanced Hadoop APIIn the basic training session, you learned how to get up and running writing Hadoop MapReduce programs in Java. This lecture probes deeper into the API, covering custom data types and file formats, direct HDFS access,  intermediate data partitioning, and other tools such as the DistributedCache.

Visit: www.hadooponlinetraining.net

Module: Advanced AlgorithmsThis lecture introduces some graph algorithms that can be adapted for your needs, as well as more involved examples like PageRank. We'll also look at strategies for implementing joins efficiently, and compare different techniques that are appropriate to different data models.
Exercise:    Optimizing MapReduce ProgramsWe'll use the Training VM to work through an example where you write a MapReduce program and improve its performance using techniques explored earlier.

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

Cloudera Hadoop online training

Cloudera Hadoop online training in Magnific training.
Real-time I/O with HBase
HBase background
HBase Architecture
HBase core concepts
HBase vs. RDBMS.

Visit: www.hadooponlinetraining.net

HBase Master and Region Servers
Data Modeling
Column Families and Regions
Bloom Filters and Block Indexes
Write Pipeline / Read Pipeline
Compactions
Performance Tuning
HBase GeoRedundancy, DR and Snapshots
LAB #4: Use HBase CLI to create databases and tune them.
Data Analytics via Hive
Hive philosophy and architecture
Hive vs. RDBMS
HiveQL and Hive Shell
Managing tables
Data types and schemas
Querying data
LAB #5: Analyzing data using Hive
Sqoop – Moving data between RDBMS and Hadoop
Data Processing through Sqoop
Understand Sqoop connectivity model with RDBMS
Using Sqoop example with real time data applications
LAB #6: Sqoop lab exercise

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 
INDIA: +91-9052666559
USA: +1-6786933994, 6786933475
visit www.hadooponlinetraining.net

please mail us all queries to info@magnifictraining.com

Cloudera Hadoop Admin training | Cloudera Hadoop Developer Training

Cloudera Hadoop Admin Training:

Magnific IT training offerining Big data, Hadoop online training with placement assistance and also Cloudera Hadoop Admin Training,cloudera hadoop admin training,cloudera hadoop administrator training.

Visit for more Details: 

www.hadooponlinetraining.net

Module:    Thinking at Scale: Introduction to Hadoop
You know your data is big – you found Hadoop. What implications must you consider when working at this scale? This lecture addresses common challenges and general best practices for scaling with your data.

Module: MapReduce and HDFS
These tools provide the core functionality to allow you to store, process, and analyze big data. This lecture "lifts the curtain" and explains how the technology works. You'll understand how these components fit together and build on one another to provide a scalable and powerful system.

Module: Getting Started with Hadoop
If you'd like a more hands-on experience, this is a good time to download the VM and kick the tires a bit. In this activity, using the provided instructions, you'll get a feel for the tools and run some sample jobs.

Module: The Hadoop Ecosystem
An introduction to other projects surrounding Hadoop, which complete the greater ecosystem of available large-data processing tools
.
Module: The Hadoop MapReduce API
Learn how to get started writing programs against Hadoop's API.

Module: Introduction to MapReduce Algorithms
Writing programs for MapReduce requires analyzing problems in a new way. This lecture shows how some common functions can be expressed as part of a MapReduce pipeline.

Module: Writing MapReduce Programs
Now that you're familiar with the tools, and have some ideas about how to write a MapReduce program, this exercise will challenge you to perform a common task when working with big data - building an inverted index. More importantly, it teaches you the basic skills you need to write your own, more interesting data processing jobs.

Module: Hadoop Deployment
Once you understand the basics for working with Hadoop and writing MapReduce applications, you'll need to know how to get Hadoop up and running for your own processing (or at least, get your ops team pointed in the right direction). Before ending the day, we'll make sure you understand how to deploy Hadoop on servers in your own datacenter or on Amazon's EC2.

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