Did you ever learn about Big Data before? I am certain that you did. Over the past few decades, everyone has been talking about Big Data. But do you truly know what Big Data is and how it influences our lives and why firms require people who have knowledge of it? In this Big Data Tutorial, I will be discussing everything that you would like to know about Big Data. For more information, you can check out the Big Data Course.
The Tale of Big Data
Earlier, individuals would go from village to village in horse-drawn carts. But as villages grew and became towns, it was difficult to go from one town to another. One individual suggested, "Let's feed the horse more and take proper care of it so that it can work well." It was a good suggestion, but there is a limit to what a horse can do.
Big Data Driver Factors
The amount of data on Earth is growing at a rapid pace due to many reasons. Various sources and our day-to-day life generate a vast volume of data. Ever since the invention of the internet, the whole world has access to it. Whatever we do, we leave behind a digital footprint. With internet-connected smart devices, data is growing even faster.
What is Big Data?
Big Data are extremely large and complicated collections of data. These collections are too large to be stored or processed by ordinary computers or standard procedures. The issues are gathering, structuring, storing, searching, sharing, transporting, analyzing, and presenting this data in a useful format.
Big Data Features
Big Data has five primary characteristics: Volume, Velocity, Variety, Veracity, and Value.
Volume
Volume refers to the amount of data available. The amount of data generated by humans, machines, and social media is huge and increasing every day. As per experts, there will be 40 Zettabytes of data by 2020—that is 300 times the amount of data available in 2005.
Speed
Velocity refers to the rate at which data is generated Many sources create a large amount of data quickly each day. For instance, over 1 billion individuals utilize Facebook on their phones daily. As the usage is growing rapidly, data is being generated rapidly as well. If we can control this pace, then we can make decisions based on real-time data.
Diversity
Variety means the different kinds of information we get. Data are in a structured (organized), semi-structured, or unstructured form. Data used to be primarily from spreadsheets or databases. Today, data are also in the form of images, videos, audio, and sensor data. Because data comes in many forms, it is tough to gather, keep, and work with.
Honesty
Veracity shows if the information is accurate and reliable. Sometimes information is missing or does not appear to be true. For instance, in a table, numbers may be inaccurate or missing. This leads to wrong ideas and makes people doubt the information.
Big data is bewildering and difficult to accept since it is sourced from numerous locations such as Twitter.
Value
Following the reference to volume, velocity, variety, and quality of data, the final important key is value. It does not matter how much data there is if it does not benefit the organization. Data is only useful if it makes the company more money or improved. If data is not valuable, it is not worth anything.
Types of Big Data
Big Data may be classified into three forms:
1. Organized Information
2. Semi-Structured Data
3. Unstructured Data
Structural Information
Structured data is data that is organized in a particular manner, e.g., table format. It is easy to store and manipulate. Data organized in rows and columns is structured data, and special languages like SQL help us work with it.
Semi-Structured Data
Semi-structured information is not in a rigid table format but is instead partly organized. It employs the utilization process of tags and markers to differentiate information so that it is comprehensible to us. XML files and JSON documents are such instances.
Unstructured Data
Unstructured data is not static in nature and is difficult to store in tables. Unstructured data examples consist of text files, photos, video clips, and audio recordings. The volume of such data is expanding rapidly. Estimates suggest that about 80% of data within organizations is unstructured.
How to obtain Big Data certification?
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Conclusion
Big Data is growing fast and changing the manner in which we use information. Big Data helps organizations to make better-informed decisions through managing large quantities of rapid and diverse data. It is crucial to understand Big Data in order to use the technology today.
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