Friday 18 October 2013

Hadoop Administration training | Hadoop Case Studies

Magnific training :
Hadoop Administration :

Setup Hadoop cluster of Apache, Cloudera, Hortonworks, Greenplum
1.Make a fully distributed Hadoop cluster on a single laptop/desktop
2.Install and configure Apache Hadoop on a multi node cluster in lab.
3.Install and configure Cloudera Hadoop distribution in fully distributed mode
4.Install and configure Horton Works Hadoop distribution in fully distributed mode
5.Install and configure Green Plum distribution in fully distributed mode
6.Monitoring the cluster
7.Getting used to management console of Cloudera and Horton Works
8.Name Node in Safe mode
9.Meta Data Backup
10.Ganglia and Nagios – Cluster monitoring.
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?
contact India +91-9052666559
         Usa : +1-678-693-3475.


please mail us all queries to info@magnifictraining.com

Wednesday 18 September 2013

Big data training new york | Big data Analytics training in New york

Big data training new york | Big data Analytics training in New york.


Introduction to Big Data Analytics

Defining Big Data analytics

  • Discovering value from large data sets
  • Exploiting data to optimize decision making

Planning your analytics lifecycle project

  • Outlining steps in the lifecycle
  • Contrasting traditional analytics with Big Data analytics

Representing Big Data with R and Rattle

Preparing the data

  • Loading data for knowledge discovery
  • Spotting outliers in the data
  • Transforming and summarizing data

Visualizing data characteristics

  • Revealing changes over time
  • Displaying proportions within your data
  • Leveraging maps to display spatial relationships
  • Displaying relationships across categories

Modeling and Predictive Data Analysis

Categorizing analytic approaches

  • Predictive vs. descriptive analytics
  • Supervised vs. unsupervised learning


Applying appropriate mining techniques

  • Discovering unknown groups through clustering
  • Detecting relationships with association rules
  • Uncovering decision tree classifications
  • Identifying patterns with time series analysis
  • Employing genetic programming for data exploration

Leveraging Analytics with RHadoop

Expanding the analytic capabilities of your organization

  • Exploring the MapReduce and Hadoop architecture
  • Creating and executing Hadoop MapReduce jobs

Integrating R and Hadoop with RHadoop

  • Examining the components of RHadoop
  • Creating modules for RHadoop jobs
  • Executing RHadoop jobs
  • Monitoring job execution flow

Building a Recommendation Framework

Streamlining business decisions

  • Considering motivations for a recommender engine
  • Leveraging recommendations based on collaborative filtering

Developing the framework with Mahout

  • Exploring the architecture of the recommendation framework
  • Building programming components
  • Executing the recommendation model
  • Performing tradeoff analysis

Mining Unstructured Data

Investigating business value within unstructured data

  • Making a business case for unstructured data mining
  • Extending business intelligence with mining tools

Implementing text mining and social network analysis

  • Analyzing the structure of text mining
  • Evaluating mining approaches
  • Building a text mining framework for Hadoop MapReduce
  • Inspecting social network interactions

Planning and Implementing a Complete Data Analytics Solution

Transforming business objectives to analytic projects

  • Making use of business analysis frameworks
  • Selecting a perspective within the framework
  • Identifying performance metrics targets

Implementing the analytics lifecycle

  • Finding core data sets
  • Preparing the data for analysis
  • Modeling the data
  • Executing the model
  • Communicating results




contact India +91-9052666559

         Usa : +1-678-693-3475.


please mail us all queries to info@magnifictraining.com

Tuesday 3 September 2013

Big data Analytics training | Big data training

Hadoop is an open source MapReduce platform designed to query and analyze data distributed across large clusters. Especially effective for big data systems, Hadoop powers mission-critical software at Apple, eBay, LinkedIn, Yahoo, and Facebook. It offers developers handy ways to store, manage, and analyze data.

Hadoop in Practice collects 85 battle-tested examples and presents them in a problem/solution format. It balances conceptual foundations with practical recipes for key problem areas like data ingress and egress, serialization, and LZO compression. You’ll explore each technique step by step, learning how to build a specific solution along with the thinking that went into it. As a bonus, the book’s examples create a well-structured and understandable codebase you can tweak to meet your own needs.

This book assumes the reader knows the basics of Hadoop.

What’s Inside

Conceptual overview of Hadoop and MapReduce
85 practical, tested techniques
Real problems, real solutions
How to integrate MapReduce and R

Table of Contents

Part 1: Background and Fundamentals
Chapter 1. Hadoop in a heartbeat

Part 2: Data Logistics
Chapter 2. Moving data in and out of Hadoop
Chapter 3. Data serialization—working with text and beyond

Part 3: Big Data Patterns
Chapter 4. Applying MapReduce patterns to big data
Chapter 5. Streamlining HDFS for big data
Chapter 6. Diagnosing and tuning performance problems

Part 4: Data Science
Chapter 7. Utilizing data structures and algorithms
Chapter 8. Integrating R and Hadoop for statistics and more
Chapter 9. Predictive analytics with Mahout

Part 5: Taming the Elephant
Chapter 10. Hacking with Hive
Chapter 11. Programming pipelines with Pig
Chapter 12. Crunch and other technologies
Chapter 13. Testing and debugging

Appendix A. Related technologies
Appendix B. Hadoop built-in ingress and egress tools
Appendix C. HDFS dissected
Appendix D. Optimized MapReduce join frameworks.


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

Wednesday 21 August 2013

Big data training Free Demo

Big data Free Demo 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

Monday 19 August 2013

Big data | Hadoop | training | weekends

Huge Requirement in HADOOP
100% JOB GUARANTEE COURSE
HADOOP
 Big Data & Analytics  
 Training By Certified Faculty First time in South India
l HDFS    l MAPREDUCE        l HBASE l HIVE
l PIG       l OOZIE  l SQOOP l FLUME l NOSQL
_____________________________________________________________________________________


DURATION: weekends
and
REGULAR BATCHES
DURATION: 30 days
100% Placement Assistance
MSBI
WITH 5 REAL-TIME PROJECTS
Developer | Administrator | Consultant | End Users

Contact:
 +91-9052666559 or 
visit www.hadooponlinetraining.net

please mail : info@magnifictraining.com

Saturday 17 August 2013

Big data training-classroom-online


We offer Big data Online , corporate , Classroom trainings for public & private trainings. Magfnific training offers a full range of IT Training courses designed to help you leverage the power of Technology, and drive greater proficiency into your organization. The Customized training programs are imparted by practicing Consultants having in-depth product knowledge, project implementation experience and proficient course delivery skills. 

Visit: www.hadooponlinetraining.net

Magnific training are a Hadoop/Big data training and Consulting company providing most competitive staffing solutions and services. We welcome graduates with valid work permits like OPT, CPT or EAD to come on board to take up challenging position to work on projects with our clients.
OUR  REQUIREMENTS:
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
                   
Other Trainings
Oracle Financial/Project Accounting
Oracle /SAP HR
PeopleSoft Workday
Hadoop,
SQL Server, Informatica,


Benefits
Quality Training
Guaranteed Placements
Interview Support Assistance
Job Support Assistance.

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



Monday 12 August 2013

Big data training | Big data online training

Magnific training. We are India/USA based Big data/Hadoop training and placement firm, giving training on various technologies .We have certified trainers, who is working in top mnc . We provide 100% real scenarios in all the courses. we are one of the best training institute in INDIA .we take care of resume preparation ,arranging interview calls in Mnc .If you need job in MNC, attend demo class and take your decision. Don’t miss the opportunity.

Visit: www.hadooponlinetraining.net

Hadoop Big Data Training @ MAGNIFIC TRAININGDevelopmentAdministrationArchitect Training Course
Developing Solutions Using Apache HadoopThe Developing Solutions using Apache Hadoop training course is designed for developers who want to better understand how
to create Apache Hadoop solutions. The course consists of 50% hands-on lab exercises and 50% presentation material.After successfully completing this training course each student will receive one free voucher for the Hadoop Certified
Developer exam.Topics CoveredThe process of taking a Hadoop project from conception to completionBig Data Defined and How Hadoop makes Big Data more valuableMapReduce training: Including how to write a MapReduce program using the Hadoop APIHDFS training: Including effective loading and processing of data with CLI and APIPig, Hive and Hcatalog: how to accomplish Data movement and processing with higher level languagesOver 15 hands-on training exercises using HDFS, Pig, Hive, HBase, key MapReduce components and features (e.g. mapper,
reducer, combiner, partitioner and streaming) and moreIntended AudienceJava is preferred, but experience in other programming languages such as PHP,C,C+ is sufficientCourse DurationThe Apache Hadoop Developer class is a 30-days course spanning 45 total hoursThere are approximately 13 hours each of hands-on labs and presentations.

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


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

visit www.hadooponlinetraining.net

please mail us all queries to info@magnifictraining.com