Hadoop-Big data | training

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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.

Big Data-Hadoop online training (www.hadooponlinetraining.com)

Magnific training: Hadoop/Big Data online trainings are specially designed for students from NON-IT.Special steps would be taken for students from NON-IT background to make them understand the concepts like Hadoop from the very basics.



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.

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

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