Big data is becoming a very hot topic in the Industry and every companies are trying to open an account in providing a solution for this BigData.
Why this BigData became very popular..?
Technology became very advanced and now we have reached a situation where data are able to speak. That means, previously we used data to find the results of events happened previously. Now we are using data to predict events that are going to happen.
Consider a doctor who learned everything with his several years of education and practice. This means he is doing his consulting based on his experience. If we build a system that learns from historic data and predict events based on its learning, it will be very helpful in a lot of areas. As the size of useful data (data that contains details) increases, the accuracy of the prediction also increases. If the data size exceeds some limits, it will be very difficult to process it using conventional data processing technologies. Here the problem of big data arises. Now a days the demand of insight generation and prediction using big data is very high. Because almost systems everything that interacts with people are now giving recommendations. These recommendations are given based on some analysis over previous data. The accuracy of the recommendations increases as the size of data. For example, we are getting item recommendations from Amazon, flipkart, ebay, friend suggestions from facebook, google advertisements etc. All these are happening by processing large data. This increases the sales in case of business and usability in case of other systems.
For solving these big data problems, frameworks such as hadoop, storm, spark etc evolved.
Most of the big data solutions are the implementation of distributed storage, distributed processing, in-memory processing etc.
Now a lot of analytics are happening in social media. You can’t do a control+Z on things that you uploaded to social media.