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

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cloudera hadoop developer training

As a pioneering company in Cloudera Hadoop technology, Big data is looking forward to share their own experience, and deliver comprehensive training courses to benefit manager, developer and system administrator. We prepare expert content and practice for attendees to understand the real-world challenges of building, deploying and managing the Hadoop technologie.(Hadoop, Big data,Analytics, etc.) 

Visit: www.magnifictraining.com

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.

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Cloudera Hadoop Online Training

Magnific Training (magnifictraining.com)having a high edge On Hadoop/Big Data Online Training. A fully Dedicate Hadoop online Training Center,

Having A massive Experience of Around 8+ Years of Online Training Trained many clints/Professional/students all over the Globe.

So you are going to need an Hadoop admin:

Who are the candidates for the position? Best option is to hire an experienced Hadoop admin. In 2-3 years no one will even consider doing anything else. But right now there is an extreme shortage of Hadoop admins, so we need to consider less perfect candidates.
The usual suspects tend to be: Junior java developers, sys admins, storage admins and DBAs.

When we get to the operations personel – storage admins are usually out of consideration because their skillset is too unique and valuable at other parts of the organization. I’ve never seen a storage admin who became an Hadoop admin, or any place where it was even seriously considered.

I’ve seen both DBAs and sysadmins becoming excellent Hadoop admins. In my highly biased opinions, DBAs have some advantages:

Everyone knows DBA stands for “Default Blame Acceptor”. Since the database is always blamed, DBAs typically have great troubleshooting skills, processes and instincts. All those are critical for good cluster admins.
DBAs are used to manage a system with millions of knobs to turn, all of which have critical impact on the performance and availability of the system. Hadoop is similar to databases in this sense – tons of configurations to fine-tune.
DBAs, much more than sysadmins, are highly skilled in keeping developers in check and making sure no one accidentally causes critical performance issues on an entire system. Critical skill when managing Hadoop clusters.
DBA experience with DWH (especially Exadata) is very valuable. There are many similarities between DWH workloads and Hadoop workloads, and similar principles guide the management of the system.
DBAs tend to be really good about writing their own monitoring jobs when needed. Every production database system I’ve seen has crontab file full of customized monitors and maintenance jobs. This skill continues to be critical for Hadoop system.

To be fair, sysadmins also have important advantages:

They typically have more experience managing huge number of machines. Much more so than DBAs. They have experience working with configuration management and deployment tools (puppet, chef), which is absolutely critical when managing large clusters. They can feel more comfortable digging in the OS and network when configuring and troubleshooting systems, which is important part of Hadoop administration.

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

Read More