Introduction To Big Data
2.4 (35 ratings)
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Introduction To Big Data

Learn the basics of big data
2.4 (35 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
1,031 students enrolled
Last updated 7/2016
English
Current price: $10 Original price: $65 Discount: 85% off
5 hours left at this price!
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Includes:
  • 32 mins on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • Define Big Data
  • Define High Volume
  • Define High Variety
  • Define High Velocity
  • Understand Google's Big Data Approach
  • Understand a Cluster
  • Understand Nodes
  • Define Google File System -GFS
  • Understand Big Table
  • Understand MapReduce
  • Define Apache Hadoop
View Curriculum
Requirements
  • Internet Access
  • Basic Computer Skills
Description

Big data is a big buzz word  and everyone seems to be talking about it, but what  exactly is big data ? Where is this data coming from, how is it being processed, and how are the results being used?

What is big data?

Big data can be characterised as data that has high volume,high variety and high velocity. Data includes numbers, text, images, audio, video, or any other kind of information you might store on your computer. Volume, velocity, and variety are sometimes called "the 3 V's of big data."

What kind of datasets are considered big data?

Examples includes social media network analyzing their members' data to learn more about them and connect them with content and advertising relevant to their interests, or search engines looking at the relationship between queries and results to give better answers to users' questions.

How is big data analyzed?

One of the best known methods for turning raw data into useful information is by what is known as MapReduce. MapReduce is a method for taking a large data set and performing computations on it across multiple computers, in parallel. It serves as a model for how program, and is often used to refer to the actual implementation of this model.

MapReduce consists of two parts. The Map function does sorting and filtering, taking data and placing it inside of categories so that it can be analysed. The Reduce function provides a summary of this data by combining it all together.

What You Will Learn

  •         What is big data
  •         What is high volume
  •         What is high variety
  •         What is high variety
  •        Google’s Big Data Approach
  •        What is  Cluster
  •        What is a Node
  •        What is GFS
  •        What is Big Table
  •        What is MapReduce
  •        What is Hadoop
Who is the target audience?
  • Data Analyst
  • SQL Aspiring developers
  • SQL Developers
  • Database Administrator
  • Database Developers
  • IT Professionals
  • Aspiring Data Analyst
  • Aspiring Data Warehouse Professionals
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Curriculum For This Course
+
Introduction
5 Lectures 14:51
+
Google's Big Data Approach | Introduction To Hadoop
7 Lectures 17:06
Introduction to the Google Approach
00:33

What is a cluster
00:56

What is a Node
01:29

The Google File System -GFS
01:38

Google's Big Table
03:35

What is MapReduce
06:14

Introduction To Apache Hadoop
02:41
About the Instructor
Bluelime Learning Solutions
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Bluelime is UK based and creates quality easy to understand eLearning solutions .All our courses are 100% video based. We teach hands –on- examples that teach real life skills .

Bluelime has engaged in various types of projects for fortune 500 companies and understands what is required to prepare students with the relevant skills they need.