Hadoop online training | Australia Malbourne Newzland | Support

Magnific Training have a team of experienced instructors who have worked extensively in Hadoop & Cassandra platforms, and have deployed various clustering software packages internationally to fortune 500 clients.

This is a fast paced, vendor agnostic, technical overview of the Hadoop landscape. No prior knowledge of databases or programming is assumed. This course is targeted towards both technical and non-technical people who want to understand the emerging world of Big Data, with a specific focus on Hadoop.  

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• Big Data use case and technology assessment
• Application/implementation of custom analytics
• Administration of relational and NOSQL databases
• Data migration from existing data stores
• Infrastructure and storage design for Big Data technologies
• Developing capacity plans for new and existing systems
• Data Virtualization
• Visualization
• Performance Tuning.

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 

INDIA: +91-9052666559 

USA: +1-6786933994

     +6786933475

visit www.magnifictraining.com

please mail us all queries to info@magnifictraining.com

Hadoop training and placement Australia

The Magnific Training – Admin class prepares its students for the fast paced world of Hadoop. The class provides a technical overview of Hadoop, HDFS & MapReduce and its ecosystem components like Hive, Pig & HBase. The class delves deeper into the core concepts of Hadoop architecture & best practices for Hadoop administration. The class showcases Big Data analytics with Hive & Pig and performs data migration from RDBMS into Hadoop using Sqoop. The class has 60% of hands-on labs which students practice on real live dedicated clusters. - See more at: www.magnifictraining.com

Meet and Greet students – Online
Hadoop Setup – Support
Clusterstogo.com – Overview

Day 1: Big Data, HDFS and MapReduce Primer.

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Intro to Hadoop

Parallel Computer vs. Distributed Computing
Brief history of Hadoop
RDBMS vs. Hadoop
Hadoop Cluster Architecture
Hadoop Daemons introduction: NameNode, DataNode, JobTracker, TaskTracker
Intro to the Hadoop ecosystem: HDFS, MapReduce, Pig, Hive, HBase, ZooKeeper
Vendor Comparison
Hardware and Software recommendations
Lab #1: Hadoop Installation based on CDH4 and SCM 4.6, Hadoop cluster specific operations and sample job execution
Deep Dive HDFS

Linux File system options
Sample HDFS commands
Data Locality
Rack Awareness
Write Pipeline
Read Pipeline
NameNode architecture
Secondary NameNode architecture
DataNode architecture
Heartbeats
Block Scanner
FSCK
Balancer
Name Node HA

MapReduce 

MapReduce Gen1 Architecture
JobTracker/TaskTracker
Combiner and shuffle
Counters
Speculative Execution
Job Scheduling (FIFO, Fair Scheduler, Capacity Scheduler)
LAB #3: Sample Map Reduce Job Execution
Day 2: Introduction to Hadoop Ecosystem

Real-time I/O with HBase

HBase background
HBase Architecture
HBase core concepts
HBase vs. RDBMS
HBase Master and Region Servers
Data Modeling
Column Families and Regions
Bloom Filters and Block Indexes
Write Pipeline / Read Pipeline
Compactions
Performance Tuning
HBase GeoRedundancy, DR and Snapshots
LAB #4: Use HBase CLI to create databases and tune them.

Data Analytics via Hive

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 websitewww.magnifictraining.com

 

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.

 

www.magnifictraining.com

* 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

Magnific Training: Hadoop training AUSTRALIA

Big data analytics and the cloud are almost a perfect marriage. The ability to elastically provision the number of processing nodes necessary for the analytics job while paying only for their actual use is a prime example of the real benefits the cloud offers. Learn about Hadoop in clouds and optimizing cloud clusters for Hadoop.

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Hadoop Big Data Training on:
*Development
*Administration
*Architect Training Course
Course Outline:
What is Big Data & Why Hadoop?
Hadoop Overview & it’s Ecosystem
HDFS – Hadoop Distributed File System
Map Reduce Anatomy
Developing Map Reduce Programs
Advanced Map Reduce Concepts
Advanced Map Reduce Algorithms
Advanced Tips & Techniques
Monitoring & Management of Hadoop
Using Hive & Pig ( Advanced )
HBase
NoSQL
Sqoop
Deploying Hadoop on Cloud
Hadoop Best Practices and Use Cases.
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

Hadoop online training in AUSTRALIA

About faculty : He has about 8+ years of industry experience working on enterprise Big data, Hadoop and Cloud computing platforms. He has worked withTCS, HP, Patni and worked on large scale projects for customers like Hadoop,Big data,Sap in the roles of solution and technical architect. He provides consulting and training on Cloud Computing, Big data & Hadoop, Sap, and Web Services.

Magnific trainings are located various cities like Melbourne,sedney..

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.

hadoop administrator training in Australia | Fast track training

Magnific Training provides professional training services in Software Hadoop, Business Analysis(BA), , Microsoft .Net technologies SharePoint, Informatica, Oracle DBA, SQL Server DBA, SAP (Basis, Security, XI, CRM, SD, MM, PP, HR, BI/BW, Fi/Co, SEM, SCM,) Software Training, etc. for every one everywhere in the world.

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.

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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

please mail us all queries to info@magnifictraining.com

Hadoop Developer Training in Australia (www.hadooponlinetraining.com)

At Magnific Training, we believe that Hadoop is an enterprise viable data platform and that the most effective path to its delivery is within the open community. To this end, we build, distribute and support a 100% open source distribution of Apache Hadoop that is truly enterprise grade and follow these three key principles:

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Visit: www.magnifictraining.com

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

Hadoop online training in Australia | Hadoop training and placement

MAGNIFIC trainings HADOOP technologies like HADOOP, ADOBE, BIG DATA, analytics training, SAP through webex ,team viewer & skype to serve the 
requests coming from all over the world.

Hadoop Big Data Training on:

*Development
*Administration
*Architect Training Course

 Visit: www.magnifictraining.com

Course Outline:

What is Big Data & Why Hadoop?
Hadoop Overview & it’s Ecosystem
HDFS – Hadoop Distributed File System
Map Reduce Anatomy
Developing Map Reduce Programs
Advanced Map Reduce Concepts
Advanced Map Reduce Algorithms
Advanced Tips & Techniques
Monitoring & Management of Hadoop
Using Hive & Pig ( Advanced )
HBase
NoSQL
Sqoop
Deploying Hadoop on Cloud
Hadoop Best Practices and Use Cases.

Note: 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

hadoop online training | AUSTRALIA UK USA CANDA| placement

HADOOP-BIG DATA online training course providing by magnific training.

We provide two Hadoop Training Courses:
Intensive Developer Training (6-8 weeks)
Corporate Training (4 weeks)

If Interested Send me an Email with below Details
Resume
Visa Status
Current Location

Visit: www.magnifictraining.com

Training & Placement Program. 

InfoObjects BigData/Hadoop Training Info/syllabus

Are you looking for the following?

100% online Training in Big Data/Hadoop
Training by Well Known industry veterans 
Training focused towards Job Placement
Job Opportunities with major IT organization.

Who should be interested?

You are a talented and enthusiastic individual who wants to grow and make a career with us.
You are a fresh graduate who is currently on F1/ OPT/ CPT with good logical, analytical skills
Canadian Citizen who wants to immigrate to USA,UK,AUSTRALIA,SINGAPORE,CANADA
You are a committed individual (any immigration status, GC and Citizens welcome) with average or above average 

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communication skills and want to get into IT field with minimal effort.
You are a Candidate with valid working status & want to start your career with advanced job orientedtraining
Our areas of expertise include: 
Big Data/Hadoop.


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.comwww.magnifictraining.com

Big DATA Hadoop Training | hadoop online training australia

MAGNIFIC trainings are pioners in offering real time industrail experts hands on training on HADOOP BIG DATA online 

TRAINING.

 HADOOP technologies like HADOOP, ADOBE, BIG DATA, analytics training, SAP through webex ,team viewer & skype to serve the 

requests coming from all over the world.

Module:    Thinking at Scale: Introduction to Hadoop

You know your data is big – you found Hadoop. What implications must you consider when working at this scale? This lecture addresses common challenges and general best practices for scaling with your data.

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Module: MapReduce and HDFS

These tools provide the core functionality to allow you to store, process, and analyze big data. This lecture "lifts the 

curtain" and explains how the technology works. You'll understand how these components fit together and build on one 

another to provide a scalable and powerful system.

Module: Getting Started with Hadoop

If you'd like a more hands-on experience, this is a good time to download the VM and kick the tires a bit. In this 

activity, using the provided instructions, you'll get a feel for the tools and run some sample jobs.

Module: The Hadoop Ecosystem

An introduction to other projects surrounding Hadoop, which complete the greater ecosystem of available large-data 

processing tools

.

Module: The Hadoop MapReduce API

Learn how to get started writing programs against Hadoop's API.

Module: Introduction to MapReduce Algorithms

Writing programs for MapReduce requires analyzing problems in a new way. This lecture shows how some common functions can 

be expressed as part of a MapReduce pipeline.

Module: Writing MapReduce Programs

Now that you're familiar with the tools, and have some ideas about how to write a MapReduce program, this exercise will 

challenge you to perform a common task when working with big data - building an inverted index. More importantly, it 

teaches you the basic skills you need to write your own, more interesting data processing jobs.

Module: Hadoop Deployment

Once you understand the basics for working with Hadoop and writing MapReduce applications, you'll need to know how to get 

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Hadoop up and running for your own processing (or at least, get your ops team pointed in the right direction). Before 

ending the day, we'll make sure you understand how to deploy Hadoop on servers in your own datacenter or on Amazon's EC2.

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