A Comprehensive Guide to Big Data
You will see technology everywhere you look. We have seamlessly integrated technology into our lives, from smartphones to smart TVs. This technology is not a single entity. It is a combination software, hardware, as well as many intermediate things. Data can be described as the majority of these seemingly ordinary things. Data science is a popular stream that people follow all around the globe. Data science is the analysis and collection of data to extract information.
Now the question is:
What is Data? How do we Define Data
Data can be described as inputs from hardware that are stored in software. To input or upload data to servers, we use equipment such as our smartphones, microphones, and keyboards. Data is anything that is stored in a computer as electrical inputs. Data can be transmitted via electrical, magnetic, and mechanical waves.
Now that you know what Data is, let’s move on to the next part of data science: big data.
What is Big Data?
There is an immense amount of data generated every day due to the rapid rise in IT in all spheres of our lives. This data can be called big data. Is it possible to call large-scale data big data? In a way, yes. Big Data is Data multiplied more than a thousand trillion times. Big Data refers to a huge amount of data stored in an ever-growing system. This exponential growth in size is not linear. The exponential growth in size can be attributed the increase in the number and quality of the things that are added daily to the global network.
This big data can also be influenced by a steady increase in the human population. You might be wondering what big data is and why it is so important. When we refer to the size of bigdata, we don’t mean megabytes, gigabytes or bytes. We are referring to petabytes. One petabyte is equal to 1,048,576 gigabytes. This is the amount of data generated per service in a single day. To give an idea of the sheer size of a petabyte, it would require nearly 70,000 computers in order to create one petabyte of data. This is the size of big Data. We don’t yet have a storage solution that can store a single petabyte due to the sheer size of petabytes. We might be able to create a unique storage system for petabytes in the next decade. However, big Data’s future is still years away.
Criteria for Big Data
Simple concepts can help us identify what is big data. It is necessary to analyze the nature of data and identify which criteria, if met, will make data big data. Let’s take a look at what data must be considered big data.
* Data stored. The amount of data stored in big-data databases is huge. The data continues to grow exponentially. Any broad data exceedingly large can be considered big data.
* Sources of generation. Some sources, such as social media and data centres, generate huge amounts of data. It is important to know the variety of data generated, as this will allow you to understand its nature and characteristics.
* Speed of data extraction. Data can also be classified as big data based on the speed of retrieval or velocity of Data. Big data analytics is all about processing raw data into something that can then be interpreted. It is important to sort through the data and find the most useful ones.
* How data is organized. It is easy to lose sight of the data you have stored, especially with so many. It is important to organize data in a way that can be retrieved easily. It is also important to consider the quality of the data. It is useless to create large databases to store data if the quality is not up-to-standard.
Big Data Concepts and Big Data Examples
Big Data concepts have always relied upon real-life examples to explain big data concepts. Here are some amazing big data examples to help you estimate how many data companies generate each day.
* Social media is the most prominent example of big data ecosystem. It is the largest contributor to big data. Every day, social media contributes large amounts to big data. These data can be in the form messages, comments and likes, upload photos, videos, or social activity. Facebook, the largest social media platform, generates almost 550 Terabytes of data per day. It is 1024 Gigabytes. Imagine an average of 550 Terabytes being stored each day. This Data doubles every two days. Consider the following: