Showing posts with label hadoop online training. Show all posts
Showing posts with label hadoop online training. Show all posts
Monday, 19 August 2013
Saturday, 17 August 2013
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
Thursday, 8 August 2013
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
Friday, 26 July 2013
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
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
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
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.
* 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
Saturday, 13 July 2013
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.
Visit: www.magnifictraining.com
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
Visit: www.magnifictraining.com
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
Friday, 12 July 2013
hadoop online training| AUSTRALIA USA UK CANADA| bag data training
MAGNIFIC trainings are pioners in offering real time industrail experts hands on training on SAP online TRAINING.
HADOOP technologies like HADOOP, ADOBE, BIG DATA, analytics training, SAP through webex ,team viewer & skype to serve the
Visit: www.magnifictraining.com
requests coming from all over the world.
Big Data Analytics Training
Big data analytics is the process of examining large amounts of data of a variety of types (big data) to uncover hidden
patterns, unknown correlations and other useful information. Such information can provide competitive advantages over
rival organizations and result in business benefits, such as more effective marketing and increased revenue.
What You will Learn Unleash the power of Big Data! Enhance big data analytics skills Enrich analytic skills Key Roles
Phases of Life cycle process Key Deliverables to stakeholders Audience
Application Developers
Business Analysts
BI / Data warehouse Developers
Technical Consultants
Enterprise Architects
Technical Project Managers
Prerequisites Suggested Prerequisites – Relational Database concepts, Data Warehousing concepts, RDMS, OLTP, OLAP, ROLAP,
MOLAP, Star Schema, Facts, Dimensions etc. Course Objectives
Visit: www.magnifictraining.com
Explain the concepts of Big Data and related technologies
Understand What is Big Data
Big Data Market – Big Picture
Big Data Tools
Big Data – Reference Architectures
Big Data Solutions.
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
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