Introduction To Big Data
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# Introduction To Big Data

Learn the basics of big data
2.9 (36 ratings)
1,035 students enrolled
Last updated 7/2016
English
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Includes:
• 32 mins on-demand video
• 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
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
•        What is  Cluster
•        What is a Node
•        What is GFS
•        What is Big Table
•        What is MapReduce
Who is the target audience?
• Data Analyst
• SQL Aspiring developers
• SQL Developers
• Database Developers
• IT Professionals
• Aspiring Data Analyst
• Aspiring Data Warehouse Professionals
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Curriculum For This Course
12 Lectures
31:57
+
Introduction
5 Lectures 14:51
Preview 02:33

Preview 02:43

Preview 03:03

Preview 03:22

What is High Velocity
03:10
+
7 Lectures 17:06
00:33

What is a cluster
00:56

What is a Node
01:29

01:38

03:35

What is MapReduce
06:14