Hadoop Developer training | AUSTRALIA USA UK CANADA| Hadoop training

We are here to help you build your career, whether it is in the emerging Big Data sector or in the traditional red-hot Oracle / SQL Server Database Administration sector.
Magnific training are a US based company, headquartered in New York, providing IT Training globally. Whether you are in USA, in India, in Europe, no matter where you are, we can train you.

Visit: www.magnifictraining.com

Our experience in utilizing cloud computing technologies for the needs of gurus and students has enabled us to develop a “State-of-the-Art” infrastructure for conducting these classes
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.

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

Hadoop Developer training and placement in USA

Apache Hadoop Developer class will introduce students to the concepts of Apache Hadoop Developer supplemented by hands-on lab exercises. The class is geared for Data Analysts and DBAs who would like to implement ETL on Hadoop, specifically to join and transform data from multiple sources. The topics covered in the class are under the following categories.

Visit: www.magnifictraining.com

Hadoop Training Course

• Big Data Concepts

• What is big data?

• Big Data Technology landscape

• HADOOP

• HDFS

• Map Reduce

• Big Data use cases

• Big Data – Solution development

• Hive

• Pig

• Phython/Java

• Big Data – Low latency solutions development

• Hbase basics

• Developing solutions using Hbase

• Integrating Big Data solution with traditional data warehouse technologies

• Data science

• What is data science and machine learning?

• What is Mahout? – Mahout based  machine learning solutions development e.g. Recommender/Relevance Systems, Sentiment analysis,  and Campaign effectiveness

• Big Data Technology future landscape.

• 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 | Developer | Administration | Training

Customised and tailored inHadoop Developer-online training gives your business the competitive edge by focussing on self-improvement and investing in your people. In-online training allow you to leverage our expertise. We can design and deliver a professional training programme customised to your training needs, provide targeted objectives & learning outcomes, supply highly trained instructors, and provide stimulating content backed up by flexible and cost-effective options.

Visit: www.magnifictraining.com

Meet and Greet students – OnlineHadoop Setup – SupportClusterstogo.com – OverviewDay 1: Big Data, HDFS and MapReduce Primer
Intro to Hadoop
Parallel Computer vs. Distributed ComputingBrief history of HadoopRDBMS vs. HadoopHadoop Cluster ArchitectureHadoop Daemons introduction: NameNode, DataNode, JobTracker, TaskTrackerIntro to the Hadoop ecosystem: HDFS, MapReduce, Pig, Hive, HBase, ZooKeeperVendor ComparisonHardware and Software recommendationsLab #1: Hadoop Installation based on CDH4 and SCM 4.6, Hadoop cluster specific operations and sample job executionDeep Dive HDFS
Linux File system optionsSample HDFS commandsData LocalityRack AwarenessWrite PipelineRead PipelineNameNode architectureSecondary NameNode architectureDataNode architectureHeartbeatsBlock ScannerFSCKBalancerName Node HA
MapReduce 
MapReduce Gen1 ArchitectureJobTracker/TaskTrackerCombiner and shuffleCountersSpeculative ExecutionJob Scheduling (FIFO, Fair Scheduler, Capacity Scheduler)LAB #3: Sample Map Reduce Job ExecutionDay 2: Introduction to Hadoop Ecosystem
Real-time I/O with HBase
HBase backgroundHBase ArchitectureHBase core conceptsHBase vs. RDBMSHBase Master and Region ServersData ModelingColumn Families and RegionsBloom Filters and Block IndexesWrite Pipeline / Read PipelineCompactionsPerformance TuningHBase GeoRedundancy, DR and SnapshotsLAB #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 website www.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. * 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 USA

We provide end-to-end Development, Implementation & provide consulting Services for Big data, Hadoop ecosystem and Related Technologies.

Companies are leveraging their data to gain valuable new insights into their businesses and customers. If you’re not sure how to get started on 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 Develpoer Training in USA | Big data Developer Training

Hadoop Develpoer Training in USA:

 Hadoop Developer Training with Hadoop in Magnific training.

Note: Placement Assistance and certification Training also Available.

Fpr more Details About Course Visit: 

www.hadooponlinetraining.net

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.

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 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.

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