HADOOP TRAINING IN CHENNAI

Introduction

Scalable data storage and processing

  • Distributed and fault-tolerant
  • Runs on standard hardware
  • Two main components
  • Storage
  • The Hadoop Distributed File System(HDFS)

  • Processing: MapReduce
  • About Trainer

    He is having 12 year of experience Hadoop.He accept any challenge that comes my way with an open attitude and reinforce my belief that being versatile is the way to success and growth of self and organization.

    Why Hadoop is called Future of Information Economy

    Hadoop is a Big Data mechanism, which helps to store and process & analysis unstructured data by using any commodity hardware.Hadoop is an open source software framework written in java,which support distributed application.It was introduced by Dough Cutting & Michael J. Cafarellain in mid of 2006.Yahoo is the first commercial user of Hadoop(2008). Hadoop works on two different generation Hadoop 1.0 & Hadoop 2.0 which, is based on YARN (yet another resource negotatior) architecture.Hadoop named after Dough cutting's son's elephant. Big Data Growth & Future Market.

    Job Titles for Hadoop Professionals

    Job opportunities for talented software engineers in fields of Hadoop and Big Data are enormous and profitable. Zest to become proficient and well versed in Hadoop environment is all that is required for a fresher. Having technical experience and proficiency in fields described below can help you move up the ladder to great heights in the IT industry.

    Hadoop Architect

    A Hadoop Architect is an individual or team of experts who manage penta bytes of data and provide documentation for Hadoop based environments around the globe. An even more crucial role of a Hadoop Architect is to govern administers, managers and manage the best of their efforts as an administrator. Hadoop Architect also needs to govern Hadoop on large cluster. Every HAdoop Architect must have an impeccable experience in Java, MApreduce, Hive, Hbase and Pig.

    Hadoop Developer

    Hadoop developer is one who has a strong hold on programming languages such as Core Java,SQL jQuery and other scripting languages. Hadoop Developer has to be proficient in writing well optimized codes to manage huge amounts of data. Working knowledge of Hadoop related technologies such as Hive, Hbase, Flume facilitates him in building an exponentially successful career in IT industry.

    Hadoop Scientist

    Hadoop Scientist or Data Scientist is a more technical term replacing Business Analyst. They are professionals who generate, evaluate, spread and integrate the humongous knowledge gathered and stored in Hadoop environments. Hadoop Scientists need to have an in-depth knowledge and experience in business and data. Proficiency in programming languages such as R, and tools such as SAS and SPSS is always a plus point.

    Hadoop Administrator

    With colossal sized database systems to be administered, Hadoop Administrator needs to have a profound understanding of designing principals of HAdooop. An extensive knowledge of hardware systems and a strong hold on interpersonal skills is crucial. Having experience in core technologies such as HAdoop MapReduce,Hive,Linux,Java, Database administration helps him always be a forerunner in his field.

    Hadoop Engineer

    Data Engineers/ Hadoop Enginners are those can create the data-processing jobs and build the distributed MapReduce algorithms for data analysts to utilize. Data Engineers with experience in Java, and C++ will have an edge over others.

    Hadoop Analyst

    Big Data Hadoop Analysts need to be well versed in tools such as Impala, Hive, Pig and also a sound understanding of application of business intelligence on a massive scale. Hadoop Analysts need to come up with cost efficient breakthroughs that are faster in jumping between silos and migrating data.

    The Motivation for Hadoop

  • Problems with traditional large-scale systems
  • Requirements for a new approach
  • Hadoop: Basic Concepts

  • An Overview of Hadoop
  • The Hadoop Distributed File System
  • Hands-On Exercise
  • How MapReduce Works
  • Hands-On Exercise
  • Anatomy of a Hadoop Cluster
  • Other Hadoop Ecosystem Components
  • Writing a MapReduce Program

  • The MapReduce Flow
  • Examining a Sample MapReduce Program
  • Basic MapReduce API Concepts
  • The Driver Code
  • The Mapper
  • The Reducer
  • Hadoop’s Streaming API
  • Using Eclipse for Rapid Development
  • Hands-on exercise
  • The New MapReduce API
  • Delving Deeper Into The Hadoop API

  • More about ToolRunner
  • Testing with MRUnit
  • Reducing Intermediate Data With Combiners
  • The configure and close methods for Map/Reduce Setup and Teardown
  • Writing Partitioners for Better Load Balancing
  • Hands-On Exercise
  • Directly Accessing HDFS
  • Using the Distributed Cache
  • Hands-On Exercise
  • Common MapReduce Algorithms

  • Sorting and Searching
  • Indexing
  • Machine Learning With Mahout
  • Term Frequency – Inverse Document Frequency
  • Word Co-Occurrence
  • Hands-On Exercise
  • Usining HBase

  • What is HBase?
  • HBase Architecture
  • HBase API
  • Managing large data sets with HBase
  • Using HBase in Hadoop applications
  • Hands-on exercise
  • Using Hive and Pig

  • Hive Basics
  • Pig Basics
  • Hands-on exercise
  • Practical Development Tips and Techniques

  • Debugging MapReduce Code
  • Using LocalJobRunner Mode For Easier Debugging
  • Retrieving Job Information with Counters
  • Logging
  • Splittable File Formats
  • Determining the Optimal Number of Reducers
  • Map-Only MapReduce Jobs
  • Hands-On Exercise
  • More Advanced MapReduce Programming

  • Custom Writables and WritableComparables
  • Saving Binary Data using SequenceFiles and Avro Files
  • Creating InputFormats and OutputFormats
  • Hands-On Exercise
  • Joining Data Sets in MapReduce

  • Map-Side Joins
  • The Secondary Sort
  • Reduce-Side Joins
  • Course Features & Benefits:-

  • Experienced Corporate Trainer
  • Additional Practice sessions
  • Learning day to day operations.
  • Lowest Fee
  • Full Course covering every advanced topic
  • Individual attention
  • VKV Training Benefits

  • Training by Real Time Professionals
  • Project Oriented Training
  • Running Notes
  • Flexible Timings
  • Excellent Lab Facility
  • Small Training Batch
  • Certification Support
  • About Us Small Desc of VKV

    VKV technologies(p) ltd has been founded in 2012 with a vision of providing quality training in Oracle related technologies. Our mission of is to continuously honne the skills of industrial workforces for higher productivity. Bridging the gap between academics and industries for suitable placement in technical field.

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