Hadoop training in Victoria |Australia

Magnific training
E-Mail info@magnifictraining.com
Ph: INDIA: +91-9052666559
USA: +1-6786933475.
Hadoop big data Online Demo
Courses we are offering:
HADOOP BIG DATA,
Oracle,
Oracle Apps,
MSBI

SQL DBA

etc…
Online Trainings
CALL FOR DEMO
INDIA: +91-9052666559
USA: +1-6786933475
visit www.hadooponlinetraining.net
please mail us all queries to info@magnifictraining.com

 
Highlights:
ü  Economical and Affordable
ü Choose your convenient time
ü Get professionally trained
ü Personal care each Trainee
Features of our Training:
• Study Material
• Real Time Examples and Methodologies
• Example Case Studies
• Interview Tips, Questions and Guidance
• Weekly Feedback Collection

Hadoop fast track training contct for demo-9052666559

Hi Greetings for the day. We online.training.exe are providing Hadoop online training on all software courses from Basics to Advance with High end faculty profiles who are working with MNCs with minimum of 8 years of exp. We provide Quality online training and we start with free demo class so that you can interact with faculty to discuss with your requirements and you can see the quality of class as well. Please contact  for more details +91-9052666559.

Visit: www.hadooponlinetraining.net

Magnific training are a Hadoop/Big data training and Consulting company providing most competitive staffing solutions and services. We welcome graduates with valid work permits like OPT, CPT or EAD to come on board to take up challenging position to work on projects with our clients.
OUR  REQUIREMENTS:
We are looking for candidates with Bachelors, Masters Degree with any discipline of science and Engineering like Computers/ MIS etc.
We welcome talented and enthusiastic candidates who wanted to have an excellent career opportunity with our global clients.
                                   
Course: Big data,HADOOP ,Sql dba,msbi
Trainer: Experienced in the Industry
Duration: 30 Days
Demo: Call for DEMO
Payment: Free for MS Students
Location: Online
Placement: Guaranteed
Contracts: Employment at Will.
Contact Our HR @ 9052666559
                   
Other Trainings
Oracle Financial/Project Accounting
Oracle /SAP HR
PeopleSoft Workday
Hadoop,
SQL Server, Informatica,


Benefits
Quality Training
Guaranteed Placements
Interview Support Assistance
Job Support Assistance.

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

Hadoop training Big data training | certification

India as one of the most sought after destination by IT for there software needs required skilled manpower which not only perform well on the technical grounds but also on the communication and client interaction front.In Magnific training we do a lot of focus on the complete growth of the students so that the companies get good quality candidates.

Visit: www.hadooponlinetraining.net

Custom AMIs for every class
Every class has its own custom AMI specifically developed by its guru. Typical bundled components of these AMIs include:
Hadoop
HDFS
Hbase
Hive
PIG
Cassanadra
Tomcat
Any Java based Web applications
Pre-loaded Sample Data
Every class has it’s sample data pre-loaded on Amazon S3 which is then copied into the Hadoop clusters, as they are generated for a class.
Auto Cluster Spin-up & Spin-down
We have a mechanism by which gurus configure & launch clusters on Amazon EC2, as per the requirements of a specific class.
Once the cluster is up & running, students get a custom URL which when accessed, re-directs the students to their specific cluster where they input their previously provided user names & passwords and access their own individual cluster. Students can now access the master node using SSH (browser-based or desktop client) to run & execute jobs & other lab works.
The clusters are automatically killed at the end of the session to ensure no cost over-runs on Amazon EC2 charges & ensure data integrity.
Students have a simple mechanism for uploading their class specific components, data sets into their own cluster & executing them on their own Master node.
Monitoring Systems
Gurus have access to a web-based monitoring systems which informs them about the health of all clusters currently operational for a specific class.
Error Reporting Console.
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.
 

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: +1-6786933994, 6786933475
visitwww.hadooponlinetraining.net

please mail us all queries to info@magnifictraining.com

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.  

Visit: www.magnifictraining.com

• 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.

Visit: www.magnifictraining.com

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.

Visit: www.magnifictraining.com

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.