Big hadoop trainig in noida

ENQUIRY NOW


Big Data Hadoop Training

JAVA CURRICULUM

IT’S A NEEDS LITTLE EXTRA TO BE LITTLE DIFFERENT FROM OTHERS

Hadoop is an open-source software framework for storing data and running applications on clusters of commodity hardware. It provides massive storage for any kind of data, enormous processing power and the ability to handle virtually limitless concurrent tasks or jobs. It provides huge storage capacity for each type of data, the tremendous processing power and the ability to simultaneously tasks or processes to manage virtually unlimited. Big Data represents a really big data, is a collection of large data that cannot be treated by conventional techniques. Big data is not only a fact; rather it has become a complete topic, with different tools, techniques and structures. Big data technologies are important for a more accurate analysis, which can lead to more concrete decisions resulting in provide better operational efficiency, lower costs and reduced business risk.


  • Ebay
  • Facebook
  • Linkedin
  • Yahoo
  • Adobe
  • Infosys
  • IIT Hyderabad
  • Cognizant
  • Accenture

BIG DATA-HADOOP COURSE

  • The Evolution of Data Management
  • Understanding the Waves of Managing Data
  • Defining Big Data, The Big Data Journey
  • Building a Successful Big Data Management Architecture
  • Defining Structured Data, Defining Unstructured Data
  • Looking at Real-Time and Non-Real-Time Requirements
  • Putting Big Data Together

  • A Brief History of Distributed Computing
  • Understanding the Basics of Distributed Computing
  • Getting Performance Right
  • Exploring the Big Data Stack
  • Layer 0: Redundant Physical Infrastructure
  • Layer 1: Security Infrastructure
  • INTERFACES AND FEEDS TO AND FROM APPLICATIONS AND THE INTERNET
  • Layer 2: Operational Databases
  • Layer 3: Organizing Data Services and Tools
  • Layer 4: Analytical Data Warehouses
  • Big Data Analytics, Big Data Applications
  • Understanding the Basics of Virtualization
  • Managing Virtualization with the Hypervisor
  • Abstraction and Virtualization
  • Implementing Virtualization to Work with Big Data
  • Defining the Cloud in the Context of Big Data
  • Understanding Cloud Deployment and Delivery Models
  • The Cloud as an Imperative for Big Data
  • Making Use of the Cloud for Big Data
  • Providers in the Big Data Cloud Market
  • RDBMSs Are Important in a Big Data Environment
  • Nonrelational Databases, Key-Value Pair Databases
  • Document Databases
  • Columnar Databases
  • Graph Databases, Spatial Databases
  • Polyglot Persistence
  • Tracing the Origins of Map Reduce
  • Understanding the map Function
  • Adding the reduce Function
  • Putting map and reduce Together
  • Optimizing Map Reduce Tasks
  • Explaining Hadoop
  • Understanding the Hadoop Distributed File System (HDFS), Hadoop Map Reduce
  • Building a Big Data Foundation with the Hadoop Ecosystem
  • Managing Resources & Applications with Hadoop YARN
  • Storing Big Data with HBase, Mining Big Data with Hive
  • Interacting with the Hadoop Ecosystem
  • Integrating Big Data with the Traditional Data Warehouse
  • Big Data Analysis and the Data Warehouse
  • Changing the Role of the Data Warehouse
  • Changing Deployment Models in the Big Data Era
  • Examining the Future of Data Warehouse

Understanding Data, Data Storage and Data Analysis

  • Introducing the MapReduce Model
  • Introducing Hadoop, Tracing the Hadoop History
  • Installing Hadoop, Running Hadoop Examples and Tests
    Troubleshooting

An Example Dataset, Analyzing the Data with Unix Tools

  • Analyzing the Data with Hadoop, Scaling Out
  • Hadoop Streaming, Hadoop Pipes

The Design of HDFS, HDFS Concepts

  • The Command-Line Interface, Hadoop File systems
  • The Java Interface, Data Flow
  • Parallel Copying with distcp, Hadoop Archives
  • Data Integrity, Compression, Serialization
  • File-Based Data Structures

  • The Configuration API
  • Configuring the Development Environment
  • Writing a Unit Test, Running Locally on Test Data
  • Running on a Cluster, Tuning a Job
  • MapReduce Workflows
  • Anatomy of a MapReduce Job Run, Failures
  • Job Scheduling, Shuffle and Sort, Task Execution

  • MapReduce Types, Input Formats, Output Formats
  • Counters, Sorting, Joins, Side Data Distribution
  • MapReduce Library Classes

  • Cluster Specification, Cluster Setup and Installation
  • SSH Configuration, Hadoop Configuration
  • Post Install, Benchmarking a Hadoop Cluster
  • Hadoop in the Cloud
  • HDFS, Monitoring, Maintenance

Reviews

  1. BIG DATA!!!!!!!!!!!!!!!!!!

Add a review

Your email address will not be published. Required fields are marked *

blog lam dep | toc dep | giam can nhanh

|

toc ngan dep 2016 | duong da dep | 999+ kieu vay dep 2016

| toc dep 2016 | du lichdia diem an uong

xem hai

the best premium magento themes

dat ten cho con

áo sơ mi nữ

giảm cân nhanh

kiểu tóc đẹp

đặt tên hay cho con

xu hướng thời trangPhunuso.vn

shop giày nữ

giày lười nữgiày thể thao nữthời trang f5Responsive WordPress Themenha cap 4 nong thonmau biet thu deptoc dephouse beautifulgiay the thao nugiay luoi nutạp chí phụ nữhardware resourcesshop giày lườithời trang nam hàn quốcgiày hàn quốcgiày nam 2015shop giày onlineáo sơ mi hàn quốcshop thời trang nam nữdiễn đàn người tiêu dùngdiễn đàn thời tranggiày thể thao nữ hcmphụ kiện thời trang giá rẻ