Hadoop training in pune | Real time Experts in Hadoop

magnific training -Pune
Big Data and Hadoop classroom training is for people who are willing to attend classroom sessions delivered by a highly experienced instructor. Big Data is a collection of large and complex data sets that cannot be handled by regular tools. Big Data training educates one on handling such huge databases. On the other hand, Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. Simplilearn is conducting Big Data and Hadoop classroom training coupled with e-learning access and hard-copy of courseware for better understanding. We also offer PDUs to candidates at the end of Big Data and Hadoop certification training.

Visit : http://www.magnifictraining.com/

Hadoop Development :

      Writing a MapReduce Program

1.Examining a Sample MapReduce Program

With several examples

2.Basic API Concepts

3.The Driver Code

4.The Mapper

5.The Reducer

6.Hadoop’s Streaming API

contact India +91-9052666559

         Usa : +1-678-693-3475.

visit http://www.hadooponlinetraining.net/

please mail us all queries to info@magnifictraining.com

Magnific training : Hadoop training in delhi ncr

Hadoop trainingin ncr-delhi.
Hadoop is 100% open source, and pioneered a fundamentally new way of storing and processing data. Instead of relying on expensive, proprietary hardware and different systems to store and process data, Hadoop enables distributed parallel processing of huge amounts of data across inexpensive, industry-standard servers that both store and process the data, and can scale without limits. With Hadoop, no data is too big. And in today's hyper-connected world where more and more data is being created every day, Hadoop's breakthrough advantages mean that businesses and organizations can now find value in data that was recently considered useless.

Course Contents of Hadoop and Big Data

1. Introduction to Hadoop & Big Data
Introduction to Hadoop
Introduction to Big Data
How Hadoop can solve problem associated with traditional large scale system
Other Open Source Software related to Hadoop
IN depth Knowledge on how Big Data Solutions work on Cloud
How to create your own Hadoop Cluster

2. Hadoop Architecture
Understand the main Hadoop Components
Learn How HDFS Works
List Data Access patterns for which HDFS is Designed
Learn how data is stored in HDFC Cluster
Learn HDFC Commands.

3. Querying Data
An overview of Pig, Hive and JAQL
Working with Pig
Working with Hive
Working with JAQL
Working with Pig , Hive and JAQL Transcript
Querying Data with Pig , Hive and JAQL.

4. Introduction to MapReduce
Understands the concepts of map and reduce operations
Describes how Hadoop execute a MapReduce Job
List MapReduce Fundamental Data Types
Explain a MapReduce Data flow
List MapReduce fault tolerance and scheduling features.

5. Shifting Data into Hadoop
Understand how to transfer data into Hadoop using Flume
Introduction to Flume
Introduction to Flume Transcript
Working with Flume
Flume mode of operation and configuration

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

Hadoop training in ncr | www.magnifictraining.com

Course Details

Hadoop Training Course Content:

1. Understanding Hadoop – What is Hadoop ?

• 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).

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