About This Chapter
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
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.
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.
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.
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.
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.
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.
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.
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.
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!
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.
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.
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.
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.
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.
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.
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