The term Big Data is used almost everywhere on the planet – online and offline. And it is not related to computers only. But, Big Data comes under a blanket term called Information Technology. Which is now part of almost all other technologies and fields of studies and businesses?
What is Big Data?
The data lying in the servers of your company was just data until yesterday – sorted and filed. Now, the slang Big Data got popular and now the data in your company is Big Data. The term covers each every piece of data your organization has stored now. It includes data stored in clouds and even the URLs that you bookmarked. Many companies might not have digitized all the data. You may not have the structure all the data already. Big Data is now structured and non-structured data format. All this data can be used to get different results using different types of data analysis. It is not the necessary manner to analyze the data. The BIG DATA to produce the results and predictions necessary manner.
How big is Big Data?
All the data combined is Big Data but many researchers agree that. It cannot be manipulated using normal spreadsheets and regular tools of database management. It analyzes the data many of the people used to create different datasets based on one or more common fields. So, that analysis is becoming easy way manner. In the case of Big Data, there is no need to create subsets for analyzing it. We now have tools that can analyze data irrespective of how huge it is. Probably, these tools themselves categorize the data even they analyze it.
Big Data Concepts are:
Volume The quantity of generating and storing the data. The size of the data determines the value and potential data. Whether it can be analysis big data or not. Variety The type and nature of the data. It helps people who analyze to use the resulting insight. Velocity The speed at which the data generated and processed to meet the demands and challenges. Variability The inconsistency of the data set can hamper processes to handle and manage it. Many organizations create 2.5 Quintilian bytes of data. So more than 90% of the data in the world today has been set up in the last two years alone. Big Data is the large volume of structured and unstructured data. This data is organizations collect on a daily basis. The amount of data is not the important part, but the information gathered from that data is a key.
How is Big Data Used?
Examples of Big Data:
• Companies use big data to better understand and target customers in bringing together. The data from their own transactions to social media data and even weather predictions.
• Big Data to find new cures for cancer is in the healthcare system. To maintain optimize treatment and even predict diseases before any physical symptoms appear.
• Big Data to analyze and improve the performance of individuals of the data. It can be sensors in equipment and wearable devices.
• Police forces and security agencies use big data. It helps to prevent cyber attacks, credit card fraud, and criminal activity.
• Big Data is to improve our homes, cities, and countries. It helps to optimize the heat light. The traffic flows in our cities and the energy grid across the country. we discussed what is big data and the uses of big data from the above article.
