We accept that social media is an indispensable part of our lives. The daily movements of millions of people on social networking sites are in the size of exabytes or even zettabytes . For example; 481 thousand tweets are sent on Twitter every minute, 3.7 million searches are made on Google every minute. Storing this data means high costs for companies. However, Big Data makes it possible to store this data at a lower cost by combining it with open source file systems.
Until recently, data was limited to spreadsheets or regular databases. However, advances in analytics and storage have meant that we can now capture, store, and work with many different malaysia phone number example types of data. As a result, “data” can now mean anything from databases to photos, videos, audio recordings, written text, and sensor data. To make sense of all this complex data, big data projects often use cutting-edge analytics that include artificial intelligence and machine learning.
No matter what sector you are in, you have accumulated data. No matter the size of your company, your product and service data accumulates. Therefore, you should provide permanent transformation with data. McKinsey research revealed that retailers using Big Data increased their operating profit by 60%; Gartner research revealed that 73% of companies invested in Big Data.
Well, aren't there any scary aspects to such a powerful source? Yes, there are. We have prepared a table for you and left the comparison to you:
Benefits
Data-driven medicine involves analyzing large amounts of medical records and images, which can help in the early diagnosis of disease and the development of new drugs.
Earthquake data can be analyzed to predict when earthquakes are likely to occur next, and human behavioral patterns help organizations gain insight into what to do to help survivors. Big Data technology is also used to monitor and protect the flow of refugees away from war zones around the world.
Police forces are increasingly adopting data-driven strategies, drawing on their own intelligence and public datasets, to allocate resources more efficiently and act as a deterrent when needed.