Data analytics is the process of examining data sets in order to find trends and draw conclusions about the information they contain. Increasingly, data analytics is done with the aid of specialized systems and software.

Big data is defined as large datasets that can be analyzed computationally to reveal patterns, trends, and associations – especially in connection with human behavior and interactions. A big data revolution has arrived with the growth of the Internet, wireless networks, smartphones, social media, and other technology. Before the internet, information was in some ways restricted and more centralized. The mediums of information were books, newspapers, word of mouth, etc. With the growth of the internet and the development of computer information technology, information and data skyrocketed, and it has become an open system, where information can be shared with people without any kind of limits. As the internet became more accessible worldwide, social media and websites gradually grew to become platforms for sharing data.

The world is powered by big data now forcing companies to seek experts in data analytics, capable to harness and utilize complex data. To utilize data means cleaning it and then analyzing it, forming patterns and connections, trends and correlations, to produce insights. This is what’s called Big Data analytics.

The future of big data points to more digital growth, and almost every industry depends on how information is stored, processed, and applied. Data, along with many other things, grows in value as an increase in size, where this value is applied in many ways, but mostly for analytics and making decisions.

Big Data can be analyzed in real time to fit the need of user. It is well said that having a complete plan of what to do and what not allows companies to beat their competitors and achieve their desired goals. Using big data increases your efficiency using digital technology tools boosts your business’s efficiency.

Data analysts and data scientists are leading the way toward future innovation, mining information from vast sets of data and turning it into actionable insights. Most Big Data experts believe that the amount of data produced will increase exponentially in the future. Data volumes will continue to increase to double and it will be time to merge to the cloud. With the amount of data generated every second, there is no ounce of doubt in the fact that big data analysts and data scientists are sure looking at a brighter future.

Data science is a field in Data Analytics. It is the study and use of data to inform business decisions and create new customer-facing products. Data scientists are typically responsible for analyzing data to find new insights. They often work with advanced machine learning models to predict future customer or market behavior based on past trends.

Getting into big data analytics has the following advantages:

1. Increasing amount of job opportunities
2. Increasing demand for Data experts
3. Increasing Salaries of Data Analytics Professionals
4. Direct influence of company’s decisions
5. Numerous job profiles under big data analysis to be chosen, as per interest and specialty

With billions of data are generated every day, the problem is how to find relevant knowledge and insights from these data. Data is growing exponential and therefore demand for data experts to analyze this big data is also growing. Every company will have to use big data for the growth of their businesses.