Ch 1: Big Data Fundamentals

About This Chapter

Study this collection of technology lessons to review the basics of big data. These short and engaging lessons teach you about big data's history, challenges, integrations, visualization techniques and more.

Big Data Fundamentals: Chapter Summary

This comprehensive chapter provides an overview of big data fundamentals. These informative and convenient lessons help you understand the history of big data and why it's important in the business world. You'll also examine big data analytics and learn how large amounts of data are visualized.

A short self-assessment quiz is available following each lesson so you can make sure you understand essential big data concepts. You can also submit questions to instructors and quickly find specific big data topics on your course Dashboard.

After studying the chapter material, you'll be able to:

  • Understand fundamental concepts related to big data
  • Explain the 4 ''V''s of big data
  • Assess some of the challenges and advantages of big data
  • Recognize solutions for big data storage
  • Differentiate between big data, data mining and data warehouses
  • Summarize the history of big data
  • Distinguish big data analytics tools, techniques and examples
  • Determine how business decisions can be influenced by big data analytics
  • Contextualize issues regarding big data and social media privacy
  • List common tools and techniques that are used to visualize big data
  • Describe big data security risks and integration challenges

15 Lessons in Chapter 1: Big Data Fundamentals
Test your knowledge with a 30-question chapter practice test
What is Big Data? - Definition, Concepts & Uses

1. What is Big Data? - Definition, Concepts & Uses

The concept of big data does is boundless and is used on a global scale. In this lesson, we'll define big data and discuss its factors and uses around the world.

Basics of Big Data

2. Basics of Big Data

You have probably heard the term 'big data' thrown around a lot lately, but what does it actually mean? Not only does this lesson explain big data, but it also provides an example of how it's used in your everyday life.

The 4 V's of Big Data: Volume, Velocity, Variety, Veracity

3. The 4 V's of Big Data: Volume, Velocity, Variety, Veracity

Big data may seem like a giant concept, but in reality it can be summed up in four words starting with V. This lesson explains them all and provides ample examples for each.

Big Data: Advantages & Challenges

4. Big Data: Advantages & Challenges

Big Data is a rapidly growing computing, ripe with many opportunities. In this lesson, we'll look at where we get this big data from, and the many advantages and challenges that comes with big data.

Big Data Storage Solutions

5. Big Data Storage Solutions

Big data is a well-established concept in business and IT worlds. An ever-increasing volume of data is constantly being gathered and accessed in our interconnected digital world. Learn what options are available for storing big data.

Big Data vs Data Mining

6. Big Data vs Data Mining

Chances are you've heard the terms 'big data' and 'data mining' thrown around quite a bit, especially if you work in a field that is information intensive. But what do they mean? This lesson explains the role of each.

Big Data vs. Data Warehouse

7. Big Data vs. Data Warehouse

You will almost certainly have heard of big data, a popular topic these days, and you might be aware of data warehouses as well. What's the difference though? That's what we're exploring in this lesson. We'll look at each and the differences between them.

History of Big Data

8. History of Big Data

Big data is one of the most popular buzzwords in business, but where did it come from? This lesson explains the history of big data, from the time when data became economical until today.

What is Big Data Analytics? - Definition & Examples

9. What is Big Data Analytics? - Definition & Examples

Companies often have an abundance of data to comb through. It can be difficult to know how to interpret all of that data. One method that has helped make that task more manageable is using big data analytics. Let us take a look now!

Big Data Analytics: Tools & Techniques

10. Big Data Analytics: Tools & Techniques

Information sets are huge these days. And yet, we still want the ability to process them. In this lesson, we'll take a look at Big Data, Analytics, and some tools and techniques used to put them together.

Using Big Data Analytics to Drive Business Decisions

11. Using Big Data Analytics to Drive Business Decisions

This lesson will define the meaning of big data analytics and will also discuss how this information is used to drive business decisions by allowing organizations to remain ahead of the competition.

Big Data & Privacy Issues in Social Media

12. Big Data & Privacy Issues in Social Media

With all this buzz about big data, there has to be a downside, right? In fact, one of the hottest debates about big data concerns your social media pages.

Big Data Visualization Tools & Techniques

13. Big Data Visualization Tools & Techniques

Information sets are getting larger, and with them, the desire to see what the information looks like. In this lesson, we'll take a look at Big Data, data visualization, and some tools and techniques used to work with them.

Big Data: Integration Challenges

14. Big Data: Integration Challenges

The amount of information businesses consume is staggering, and it's increasing. In this lesson, we'll take a look at big data, big data integration, and the challenges specific to it.

Big Data Security Risks

15. Big Data Security Risks

While everyone is going on about how great big data is, there is also the question of security. In this lesson, we examine the particular risks that come with big data and how it is not as safe as it may first appear.

Chapter Practice Exam
Test your knowledge of this chapter with a 30 question practice chapter exam.
Not Taken
Practice Final Exam
Test your knowledge of the entire course with a 50 question practice final exam.
Not Taken

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