Hadoop training | HDFS Training

1) The Hadoop Distributed File System (HDFS)

·        HDFS Design & Concepts

·        Blocks, Name nodes and Data nodes

·        Hadoop DFS The Command-Line Interface

·        Basic File System Operations

·        Reading Data from a Hadoop URL

·        Reading Data Using the File System API

2) Map Reduce

·        Map and Reduce Basics.

·        How Map Reduce Works

·        Anatomy of a Map Reduce Job Run

·        Job Submission, Job Initialization, Task Assignment, Task Execution

·        Progress and Status Updates

·        Job Completion, Failures

·        Shuffling and Sorting.

·        Combiner

·        Hadoop Streaming

8) Map/Reduce Programming - Java

·        Hands on "Word Count" in Map/Reduce in Eclipse

·        Sorting files using Hadoop Configuration API discussion

·        Emulating "grep" for searching inside a file in Hadoop

·        Chain Mapping API discussion

·        Job Dependency API discussion and Hands on

·        Input Format API discussion and hands on

·        Input Split API discussion and hands on

·        Custom Data type creation in Hadoop

4) Discussion on some business use cases

Ecosystem includes the below :·        Hive·        Pig·        HBase·        Sqoop·        Flume·        Oozie

Course content at:

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

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Hadoop Developer training | Magnific training

Apache Hadoop Developer Training
An Introduction

The Apache Hadoop Training for developers is structured in such a way that anyone who works with data and planning to start (or already started) working on BIG Data using Apache Hadoop framework can be benefited and be productive post this training. The content of this 3 day training covers from Basics of Hadoop, Architecture, Map Reduce Programming with several hands-on to detailed discussions on few Hadoop Eco system components (e.g. HIVE, PIG, SQOOP etc).

Visit: www.hadooponlinetraining.net

Objective of the training:
To educate the attendees about Hadoop and its ecosystem with hands on experience that can be leveraged to open new growth opportunities in their careers.
Who should attend?

DWBI Developers/ Designers/ Architects
Data Analysts, Data Scientists
Anyone, who works with data or planning to start working on BIG data

Pre requisites for attending training

Very basic (Conceptual) knowledge on Data, Queries, Analytics, Having Basics of Java is a Plus but not mandatory.

What participants will learn?

The attendees will learn below topics through lectures and hands-on exercises

Understand Big Data & Hadoop Ecosystem
Hadoop Distributed File System – HDFS
Use Map Reduce API and Write Common algorithms
Best practices for developing and debugging map reduce programs
Advanced Map Reduce Concepts & Algorithms
Hadoop best practices & tip and techniques
Managing and monitoring Hadoop cluster
Importing and exporting data using Sqoop
Leverage Hive & Pig for analysis.

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

Read More