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Analytics And Big Data

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last update : 08/08/2016

Certified Apache Hadoop Developer

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To register or to know the course fee, please Email us: contact@unicomlearning.com

Or Call: 9538878798

About

This workshop will help you to understand Big Data Hadoop and its Ecosystem and will give hands on trainings via live Big Data project. UNICOM will conduct this 2-day lab-based training would be taken by highly acclaimed certified guide with limited batch size ensuring focus and quality.

 

Take Away from the Course: 

•    There will be 11 practical exercises during the 2 days of Training.•    Hand out of the presentation will be provided to the participants•    Understanding of What and Why of Hadoop with its Eco-System Components.•    Ability to write Map Reduce programs in a given scenario•    Ability to correctly architect and implement the Best Practices in Hadoop Development•    Ability to manage the different Hadoop Components when talking to each other.

 

Hardware and Softwares Required for this training:

 

Delegates attending this course are required to carry a laptop with below configuration. Usually we suggest a 64 bit machine and not a 32 bit machine. However you can still try with a 32 bit machine but we do not gaurantee if the programs will run without any error. 

 

Windows user64 bit OS, Min 4 GB RAMVMWare Player 5.0.0Linux  VM– Ubuntu 12.04 LTS : {Unicom will be providing the VM(virtual machine)}Eclipse 3.6+Putty – For opening Telnet sessions to the Linux VMWinSCP – For transferring files between Windows and Linux VM

 

Linux/Mac Users (preferably a 64 bit machine): Min 4 GB RAM Eclipse 3.6+JDK 1.6 or higher installed on your machineSSH installed

 

Systems with said configuration can be arranged through us with an additional cost.

 

Agenda  

• What is Big Data & Why Hadoop?

  • Big Data Characteristics, Challenges with traditional system

• Hadoop Overview & it’s Ecosystem

  • Anatomy of Hadoop Cluster, Installing and Configuring Hadoop  • Hands-On Exercise

• HDFS – Hadoop Distributed File System

  • Name Nodes and Data Nodes  • Hands-On Exercise

• Map Reduce Anatomy

  • How Map Reduce Works?  • The Mapper & Reducer, Input Formats & Output Formats, Data Type & Customer Writable

• Developing Map Reduce Programs

  • Setting up Eclipse Development Environment, Creating Map Reduce Projects, Debugging and Unit Testing Map     Reduce Code, Testing with MRUnit  • Hands-On Exercise

• Advanced Map Reduce Concepts

  • Combiner, Partitioner, Counter, Compression, Setup and teardown, Speculative Execution, Zero Reducer and Distributed Cache  • Hands-On Exercise

• Advanced Map Reduce Algorithms

  • Sorting, Searching and Indexing, Multiple Inputs, Chaining multiple jobs  • Joins, Handling Binary & Unstructured data  • Hands-On Exercise

• Advanced Tips & Techniques

  • Determining optimal number of reducers, skipping bad records  • Partitioning into multiple output files & Passing parameters to tasks  • Optimizing Hadoop Cluster & Performance Tuning

• Monitoring & Management of Hadoop

  • Managing HDFS with Tools like fsck and dfsadmin  • Using HDFS & Job Tracker Web UI  • Routine Administration Procedures  • Commissioning and decommissioning of nodes  • Hands-On Exercise

• Using Hive & Pig

  • Hive Basics & Pig Basics  • Hands-On Exercise

• Sqoop

   • Importing and exporting data from using RDBMS   • Hands-On Exercise

 • Apache Mahout basics   • Introduction to Machine Learning   • Introduction to Recommendations, Clustering, Classification   • Running a Mahout recommender job on Hadoop

• Apache HBase   • Introduction to HBase   • Basic architecture, data model   • Hands on

• Hadoop Best Practices and Use Cases

 

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Why Learn Big Data?

90% of the data in the world today is less than 2 year old.18 Moths is the estimated time for digital universe to double.2.6 Quintillion bytes is produced every day.

  • Big Data: The next big opportunity
  • Big Data Market to Grow to $16.9 Billion
  • Big Data – Big Careers
  • Hadoop wins over enterprise IT
  • 2012 – Year of Big Data
  • Big Data Job Opportunities
  • 20k Big Data Jobs India

What is Course Pre-Requisites?

The participants should have basic understanding or knowledge of java and linux. Prior knowledge of Hadoop is not required

 

I have a lot of data, but how do I know if it's "Big Data?"

Every company that has data likely has "Big Data," and it grows continuously. Big Data is any type of data, including structured and unstructured data such as log files, customer service information, retail data, text, database information and so on. All of this data can now be analyzed in aggregate, across types and formats, to help make more informed business decisions and drive new solutions.

 

How much Hands-on is involved?

Around 50% of the training time is dedicated to the Hands-On training. Altogether 11 exercises are lab based.

 

How can I make payment?

Payment can be made via Cheque / DD / Online Funds transfer / Cash Payment.

Cheque should be drawn in favour of "Unicom training and Seminars Pvt Ltd" payable at Bangalore

NEFT Payment:

Account Name: UNICOM Training & Seminars Pvt LtdBank Name : State Bank of IndiaBank Address: Ground Floor, K V Plaza, Green Glen Layout, Outer Ring Road, Bangalore.A/c Number : 31729010535IFSC : SBIN0012706A/c Type: Current

 

What is Course timing?

0900 – 1700 each day

 

What is the course Fee?

2 Days Course - Rs 20,000 + 14% (Service Tax)Whom do I contact for more details?

+91-9538878798 or contact@unicomlearning.com

QUICK QUERY

 
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