Module 1:
Introduction to
Big Data

What is Big Data? What is it used for? Why is it used for?
What are the advantages and disadvantages of using Big Data?

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Are you ready to embark on this exciting journey?

Introduction

  • Have you ever wondered how Youtube recommends videos that intrigue you?

  • It's amazing to see that social network platforms like YouTube recommend just the right videos for you. Yes, Big Data is doing the job.

  • In this module, you'll start by learning the background information related to Big Data, such as Big Data definition, its history, characteristics, and values.

Objectives

  1. Understand what Big Data is (definition, types, and characteristics), who uses it, and how it's used in the current world.

  2. Understand the history of Big Data as well as the Vs of Big Data.

  3. Identify the values and the challenges of Big Data.

  4. Learn about the practical applications of Big Data and how it could be best used.

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What is Big Data?

Definition

Big Data is a term that refers to the gargantuan volume of data that cannot be processed without the use of technology. Big Data uses data processing to analyze and extract information from datasets to gain insights and advance forward.

Big data can be analyzed for insights that lead to better decisions and strategic moves.

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Let's Dive Deeper

If you are a reader...

Learn about the basics of Big Data further by exploring the series of articles below.

If you are a visual learner...

Learn about the basics of Big Data more by exploring the set of videos below.

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Assignment

Upload a post on the forum.

Answer the following questions:

1. Which V do you think is the most important? Why?

2. What is the original definition of big data based on your understanding?

3. What is one application of big data that you see in your life?

Rubric: https://tinyurl.com/3n9ccv4w

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