“I can't change the direction of the wind, but I can adjust my sails to always reach my destination.” by Magnific training
- What is Big Data?
Information that is useful but doesn't lend itself well for storage and processing using conventional data bases and BI tools. Some characteristics of big data:
- High volume at high velocity with high variety
- Unstructured, Structured, Semi-structured or Multi-structured, often lacking well defined schemas
- Relatively complex to analyze to bring out meaningful insights
- Why should organizations care about big data?
- Most organizations have traditional BI systems that focus on facts. These systems allow business users to slice and dice facts but fall short on providing insights on why facts are the way they are. This insight resides in "Big Data" which may be a combination of documents, log files, emails, social networks, blogs etc. By tapping into these insights, organizations can gain significant competitive advantage by being more agile and efficient.
- Why now?
- Tipping Point : Drop in compute, storage and network costs made the information more valuable than the cost to store and process it. Combined with the advent of grid computing , one now has an economic rationale for storing and processing "big data".
- Availability of a new set of technologies (open source and proprietary) that are maturing fast and allow storage and processing of "big data" in an economical fashion. Some of these technologies were invented by internet companies purely out of necessity for their core business, but are now finding applications in almost all verticals.
- 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 : +1-678-693-3475.
- visit www.hadooponlinetraining.net
- please mail us all queries to info@magnifictraining.com
Magnific training is into Consulting, Outsourcing & Corporate Training
Training cum Placement Program on HADOOP
Hadoop, the open source data management software that helps organizations analyze massive volumes of structured and unstructured data, is a very hot topic across the tech industry. Employed by such big named websites as eBay, Facebook, and Yahoo, Hadoop is being tagged by many as one of the most desired tech skills for 2012 and coming years along with Cloud Computing.
What participants will learn?The attendees will learn below topics through lectures and hands-on exercises– Understand Big Data & Hadoop Ecosystem– Hadoop Distributed File System – HDFS– Use Map Reduce API and write common algorithms– Best practices for developing and debugging map reduce programs– Advanced Map Reduce Concepts & Algorithms– Hadoop Best Practices & Tip and Techniques– Managing and Monitoring Hadoop Cluster– Importing and exporting data using Sqoop– Leverage Hive & Pig for analysis– Running Hadoop on Cloud
Just want to inform you that we are conducting an Training cum Placement Program for all fresher’s. And we are providing 100% Job Assurance, will provide you unlimited interview calls based on the requirement flow and openings.
We are tied up with some mid-sized companies, so in any one of the companies we can place based on your performance.
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
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: +1-6786933475
visit
please mail us all queries to info@magnifictraining.com
Magnific training is the only software institute which offers in-depth classroom & online training in different Cutting edge Technologies – Cloud & BigData software courses with projects (multiple domains), presentations, classroom notes, interview preparation and resume support.
Apache Hadoop is an open source software project that enables the distributed processing of large data sets across clusters of commodity servers. It is designed to scale up from a single server to thousands of machines, with a very high degree of fault tolerance. Rather than relying on high-end hardware, the resiliency of these clusters comes from the software’s ability to detect and handle failures at the application layer.Why Hadoop?Hadoop changes the economics and the dynamics of large scale computing. Its impact can be boiled down to four salient characteristics.Hadoop enables a computing solution that is:-Scalable-Cost effective-Flexible.-Fault tolerantWho uses Hadoop?Even if the most known Hadoop suite is provided by a very specialized actor named Cloudera (also by MapR, HortonWorks, and of course Apache), big vendors are positioning themselves on this technology. Companies who use Hadoop are Facebook, Apple, Twitter, eBay, Amazon, IBM, Accenture, Microsoft, Dell, Hitachi, Fujitsu, Informatica, Oracle, Capgemini, Intel, Seagate and many more.
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
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 contactINDIA: +91-9052666559
USA: +1-6786933475
visit www.hadooponlinetraining.net
please mail us all queries to info@magnifictraining.com
Hadoop Big Data Training @ MAGNIFIC TRAINING
Development
Administration
Architect Training Course
Developing Solutions Using Apache Hadoop
The Developing Solutions using Apache Hadoop training course is designed for developers who want to better understand how
to create Apache Hadoop solutions. The course consists of 50% hands-on lab exercises and 50% presentation material.
After successfully completing this training course each student will receive one free voucher for the Hadoop Certified
Developer exam.
Topics Covered
The process of taking a Hadoop project from conception to completion
Big Data Defined and How Hadoop makes Big Data more valuable
MapReduce training: Including how to write a MapReduce program using the Hadoop API
HDFS training: Including effective loading and processing of data with CLI and API
Pig, Hive and Hcatalog: how to accomplish Data movement and processing with higher level languages
Over 15 hands-on training exercises using HDFS, Pig, Hive, HBase, key MapReduce components and features (e.g. mapper,
reducer, combiner, partitioner and streaming) and more
Intended Audience
Java is preferred, but experience in other programming languages such as PHP,C,C+ is sufficient
Course Duration
The Apache Hadoop Developer class is a 30-days course spanning 45 total hours
There are approximately 13 hours each of hands-on labs and presentations.
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: +1-6786933475
visit www.hadooponlinetraining.net
please mail us all queries to info@magnifictraining.com
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.
Advanced Hadoop Training completes the three day training course and teaches advanced skills for debugging MapReduce programs and optimizing their performance.
Module: Debugging MapReduce programs
Debugging in the distributed environment is challenging. This lecture will expose you to best practices for program design to mitigate debugging challenges, as well as local testing tools and techniques for debugging at scale.
Module: Advanced Hadoop API
In the basic training session, you learned how to get up and running writing Hadoop MapReduce programs in Java. This lecture probes deeper into the API, covering custom data types and file formats, direct HDFS access, intermediate data partitioning, and other tools such as the DistributedCache.
Module: Advanced Algorithms
This lecture introduces some graph algorithms that can be adapted for your needs, as well as more involved examples like PageRank. We'll also look at strategies for implementing joins efficiently, and compare different techniques that are appropriate to different data models.
Exercise: Optimizing MapReduce Programs
We'll use the Training VM to work through an example where you write a MapReduce program and improve its performance using techniques explored earlier.
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
Magnific training :Hadoop Developer training
Meet and Greet students – Online
Hadoop Setup – Support
Clusterstogo.com – Overview.
Day 1: Big Data, HDFS and MapReduce Primer
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.
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.
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* Resume preparation and Interview assistance will be provided.
For any further details please contact
INDIA: +91-9052666559
USA: +1-6786933994, 6786933475
visit www.hadooponlinetraining.net
please mail us all queries to info@magnifictraining.com
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