Introduction To Big Data
4.0 (78 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
1,111 students enrolled

Introduction To Big Data

Learn the basics of big data
4.0 (78 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
1,111 students enrolled
Last updated 7/2016
English
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Current price: $44.99 Original price: $64.99 Discount: 31% off
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This course includes
  • 32 mins on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll 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
Course content
Expand all 12 lectures 31:57
+ 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
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 this course is for:
  • Data Analyst
  • SQL Aspiring developers
  • SQL Developers
  • Database Administrator
  • Database Developers
  • IT Professionals
  • Aspiring Data Analyst
  • Aspiring Data Warehouse Professionals