With the advent of technology, we are just a click away from almost every facility in this world. From education to banking, we can access anything from the comfort of our homes. In this era where every aspect of our lives revolves around gadgets, massive data emanates from various digital sources. These data are often a mixture of semi-structured and unstructured data, contributing significantly to the big data. Usually, sources of these complex data that are produced in a vast volume are internet clickstream data, web server logs, cloud applications, social media content, mobile application, etc. Data Scientist Course also provides insights and application of data.
Today, these data are crucial for any company as it plays a vital role in business decisions. These complex and unstructured data have several meaningful pieces of information regarding their target customers. That’s why businesses worldwide rely on data centers to store big data in code vaults securely. Prominent data centers like Equinix, Amazon Web Services, Verizon, 365 Data Centers, Coresite, China Telecom, and Microsoft offer infrastructures for storing, processing, and disseminating data and applications.
Data are often considered the new oil for the Information Technology industry worldwide, as you can have data without information but can’t have information without data. These big data are a blend of hidden patterns, correlations, market trends, and customer preferences. Data analysts, data scientists, statisticians, and other data analytics professionals gather, process, and analyze data to provide crucial customer insights for better decision-making. If you’re creative and looking for an exciting career, a big data analytics program is definitely the right fit for you.
Real-world examples of big data analytics
If you’re a shopaholic, you must have encountered advertisements on your social media accounts that you have just discussed with your friends or family members. Now, suppose you are on a road trip. From starting the journey to endpoints, satellite GPS technology helps you navigate your whole trip. So, this blog will introduce you to real-life examples of big data analytics.
- Big data in the healthcare industry
With the help of big data, doctors can eventually detect patients’ illnesses. Therefore, patients do not have to take unnecessary diagnoses, helping reduce treatment costs. Big data also help predict outbreaks of epidemics and minimize their effects.
- Big data in the government sector
The government requires data of citizens in a massive amount daily. This is because the government must keep track of various records and databases regarding their citizens, growth, and geographical surveys for welfare schemes. Big data analytics also help governments control cyber crimes or nab tax evaders.
- Big data in the media and entertainment industry
Big data is on the rise in the media and entertainment industry. OTT platforms such as Netflix, Prime Video, and Disney+, Hulu, and YouTube video predict the interest of target audiences, optimize media streams, and gain customer insights with the help of big data analytics.
Big data analytics is crucial in all forms of business. The job in this realm will never go out of fashion. Additionally, you will enjoy high-end salary packages. So, browse top colleges in Canada’s Toronto for a rewarding future. Enroll now!
