What is Big Data?

What Does Big Data Mean?

Big Data means different things to different people. However, most people can agree that when something is “big”, it means that it has a large volume. With Big Data, this is true as well. Big Data contains a large amount of information. Big Data also comes in many varieties, comes quickly, and needs tools that can process it just as fast. Additionally, Big Data is complex and requires a lot of storage space. With that being said, let’s look further into what Big Data really is.

History of Big Data

Of course, Big Data did not just appear out of thin air. It has a rich history that dates back to the dawn of computers. Old school databases, the Digital Age, and the Internet all played a role in the development of Big Data. Today we’ll look at where Big Data came from and what has changed over the years as technology has continued to evolve.

Sources of Big Data

So, where does all of this data come from? Humans create a lot of it. Every Facebook post or tweet you make creates data. Every online purchase you make is another piece of data. Not only do people create Big Data, but machines do as well. With today’s advance technology, machines are able to communicate with each other. This creates a huge pool of data. Keep reading to find out where else Big Data comes from.

How Do People Collect Big Data?

You wouldn’t be able to store such large amounts of data without the proper storage devices. Big Data needs big storage devices as well. Due to the large amount of data, there are many tools and technologies that allow us to gather and store such data. We’ll discuss some of those technologies and tools below.

Big Data Processing/Software

Since Big Data is so large, we need tools that can process it quickly. There are many software programs and platforms that allow us to view and process Big Data. Apache Kafka and Apache Spark are some of the platforms that allow us to process Big Data. Let’s explore some of these platforms below. 

Machine Learning and Big Data

Machine learning is taking off in today’s technology world. Machine learning allows us to teach computers to learn without being programmed. How does this tie into Big Data? Machine learning allows us to analyze big data quicker and more effectively. Read below to learn more about machine learning and how it’s used.

Uses of Big Data

Big Data can be used for almost anything. There are hundreds of different industries that use Big Data to help grow their business. Here are just a few examples of how Big Data is used.

Big Data Problems 

As with anything dealing with technology, there are some problems that arise when dealing with Big Data. Some of these problems may cause severe data breaches if not dealt with correctly. Read below to learn about some big data problems.

Privacy Concerns 

With Big Data comes privacy concerns. When you have such large pools of data, you are bound to come across private information. This information can come in the form of personal phone numbers, social security numbers, or even bank information. Learn about some privacy concerns surrounding Big Data below.

The Future of Big Data 

What does the future hold for Big Data? As we all know, technology is constantly changing and growing. This also applies to Big Data. Here are some things to look forward to in the future of Big Data.

Careers in Big Data

As you can imagine, with something like Big Data, there are many careers involved with helping develop and manage big data. There are many skills you will need to be able to work with Big Data. Read below to find out what these skills are and what jobs consist of working with Big Data.

Getting Started With Big Data

If you own a business or are just curious about Big Data, you may be looking for ways to use Big Data. Well you have come to the right place. Below we will show you how you can get started with Big Data.

Conclusion

After reading this article, you should have a good understanding of what Big Data is. Big Data is a very complex topic that involves many different things. As technology continues to change and grow, who knows how Big Data will change as well. The only thing we can do is continue to learn about it.