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Big data

Hadoop overview:

About Course

Big Data Analytics certification is curated by Hadoop experts, and it covers in-depth knowledge on Big Data and Hadoop Ecosystem tools such as HDFS, YARN, MapReduce, Hive, and Pig. Throughout this online instructor-led Big Data Hadoop certification training, you will be working on real-life industry use cases in Retail, Social Media, Aviation, Tourism, and Finance domains using Cloud Lab. Enroll now to learn Big Data from instructors with over 10+ years of experience, with hands-on demonstrations


Curriculum

Understanding Big Data and Hadoop:

Learning Objectives:In this module, you will understand what Big Data is, the limitations of the traditional solutions for Big Data problems, how Hadoop solves those Big Data problems, Hadoop Ecosystem, Hadoop Architecture, HDFS, Anatomy of File Read and Write & how MapReduce works.

Topics:

  • Introduction to Big Data & Big Data Challenges
  • Limitations & Solutions of Big Data Architecture
  • Hadoop & its Features
  • Hadoop Ecosystem
  • Hadoop 2.x Core Components
  • Hadoop Storage: HDFS (Hadoop Distributed File System)
  • Hadoop Processing: MapReduce Framework
  • Different Hadoop Distributions
Continues objectives:
  • Hadoop Architecture and HDFS
  • Hadoop MapReduce Framework
  • Apache Pig
  • Apache Hive
  • Advanced Apache Hive and HBase
  • Advanced Apache HBase
  • Processing Distributed Data with Apache Spark
  • Oozie and Hadoop Project

Project #

1: Industry: Stock Market

Problem Statement

TickStocks, a small stock trading organization, wants to build a Stock Performance System. You have been tasked to create a solution to predict good and bad stocks based on their history. You also have to build a customized product to handle complex queries such as calculating the covariance between the stocks for each month.

Project #

2: Industry: Health-Care

Problem statement

MobiHeal is a mobile health organization that captures patient’s physical activities, by attaching various sensors on different body parts. These sensors measure the motion of diverse body parts like acceleration, the rate of turn, magnetic field orientation, etc. You have to build a system for effectively deriving information about the motion of different body parts like chest, ankle, etc.