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Hadoop Advance
Industrial Training
Hadoop training course is very popular now a days as it's manage the data processing and storage for big data applications. It's an non programming framework and gives you stable job with good salaries. if you don't love programming, Hadoop would be best choice for you.
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Hadoop is an open source software framework that manages data processing and storage for big data applications or solution of big data applications running in clustered systems. It provides massive storage for any kind of data, enormous processing power and the ability to handle virtually limitless concurrent tasks or jobs. Hadoop can handle various forms of structured and unstructured data, giving users more flexibility for collecting, processing and analyzing data than relational databases and data warehouses provide.

Career Shiner is best training institute for Hadoop in Noida. We are leading more than 100+ IT courses for students, working professionals, job seekers with 100% placement guarantee on selected courses. Our course contents and training execution is completely based on industry level via industry experts with LIVE project.

Student not need to have any programming skills to learn Hadoop in Career Shiner because we start our training from level zero and cover all advanced concept with highest possible level.

Hadoop at Career Shiner makes the students 'Technically Comfortable', So the students can survive in Jobs

  • We believe Strong Knowledge makes Strong Results
  • Offering the best Hadoop Industrial training and placement in noida
  • Unique, Industry Required, Impressive, Career-Safe, In-depth Syllabus designs and it's execution
  • Focus on to build the student conceptually and practically strong
  • Highly industry Experience and certified trainers with excellent delivery
  • Multimedia classroom training with Live coding experience
  • Free classes on Requirement gathering, Analysis and Architectural knowledge
  • Students can repeats or attend any number of classes up to one year
  • No need to have extra training for Hadoop certifications
  • 2 Hours Class and 6 X 5 Lab practice facilities, work on your preferred timings
  • Globally recognized course completion certificate
  • Will help you to make project Synopsis and Report for college submission
Introduction to Hadoop and Big Data 0 Hrs
    What is Big Data?
    What are the challenges for processing big data
    What technologies support big data
    Hadoop Introduction
    Hadoop Features
    History of Hadoop
    Hadoop Components
    Hadoop Installation & Configuration
HDFS: Hadoop Distributed File System 0 Hrs
    Significance of HDFS in Hadoop
    Features of HDFS
    5 daemons of Hadoop
    Data Storage in HDFS
    Accessing HDFS
    Fault tolerance
    HDFS Federation
Hadoop MapReduce Framework 0 Hrs
    Overview of MapReduce Framework
    MapReduce Architecture
    MapReduce Programming
    Creating Input and Output Formats in Map Reduce Jobs
    Use cases of MapReduce
    MapReduce Features
Hadoop ecosystem Services 0 Hrs
    Setup Security
Apache Hive & Pig 0 Hrs
    Hive Introduction
    Hive Architecture ? Building Blocks
    Pig Introduction
    Pig Latin Programming
Mahout & Machine Learning 0 Hrs
    Mahout Overview
    Mahout Installation
    Introduction to the Math Library
    Vector implementation and Operations
    Matrix Implementation and Operations
    Anatomy of a Machine Learning Application
Classification 0 Hrs
    Introduction to Classification
    Classification Workflow
    Feature Extraction
    Classification Techniques
Evaluation (Hands-on exercise) 0 Hrs
    Use Cases
    Clustering algorithms in Mahout
    K-means clustering
    Canopy clustering
Clustering (Hands-on exercise) 0 Hrs
    Mixture Models
    Probabilistic Clustering -Dirichlet
    Latent Dirichlet Model
    Latent Dirichlet Model
    Latent Dirichlet Model
    Distance Measures
Recommendation Systems 0 Hrs
    Overview of Recommendation Systems
    Use cases
    Types of Recommendation Systems
    Collaborative Filtering (Hands-on exercise)
    Recommendation System Evaluation (Hands-on exercise)
    Similarity Measures
    Architecture of Recommendation Systems
    Wrap Up
NoSQL Databases 0 Hrs
    What is HBase
    HBase Architecture
    HBase Components
    Storage Model of HBase
    HBase vs RDBMS
    Introduction to Mongo DB
    CRUD, Advantages of MongoDB over RDBMS
    Use case
Apache SQOOP, Flume 0 Hrs
    Why and what is SQOOP
    SQOOP Architecture
    Benefits of SQOOP
    Importing Data Using SQOOP
    Apache Flume Introduction
    Flume Model and Goals
    Features of Flume
    Flume Use Case
    Flume Use Case
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  • Career Shiner has a separate wings for placement and dedicated to placed our students during training
  • As training execution is typically placement oriented, that's why our trainers working with students on resume building, presentation,
    body language and expressions etc.
  • Written Test, Spoken English, Group Discussions, Mock Interviews, Presentation skills are in regular practice during training
  • Career Shiner's students got placed in top IT Companies like Google, IBM, CSC, Chetu, HCL, TCS, Infosys, Wipro and many more