Big Data And Research Of Big Data In Modern Internet Applications

Report of Gartner shows, we create2.5QB data every day, and all the data around the world,90%of it was created in these2years.These data came from different places such as the weather data from the sensors, the blog articles from the online social websites, the pictures and videos from the digital cameras, the transition data from the purchase actions, even the GPS date from the mobile phone signal.The amount of these data, we can call this ’big data’More and more companies, government organizations realize the importance of the big data. And the data size generated from machine sensor or mobile device explode with high speed. And relative organization predict the this data size will growth more than650%in the future5years, while these data is mostly unstructured data. Gartner report predicts, to2015,70%of firm investment will spend on the IT information architecture for business analysis request.And now the day, the effect of big data is not just on the company or healthcare, it spread to the family LAN or link device. Big data becomes the data analyze method, and more convenience and low cost than before.With the fast development of the internet services, the three biggest internet company in China, Baidu, Tencent and Alibaba had put their business decision system on the big data analyze system.With the background above, we research the topics as below1.Defined the current situation and definition of big data, deeply research the detail of big data and understanding the description of big data between different industry and market.2.We face the explode of big data, and this data size already slow down the speed when we analyze big data, we find the way how to reduce the data size and optimize the data quality, and final we descript the future of the data market development.3.Base on my working relative with big data and ecommerce, we combined the big data and online shopping website data, use the timestamp base website click data analyze, optimize the analyze method, to get the better predict rate and help to the business decision.4. Finally, as the most popular online service, online social network have large amount user and created huge data size through user interaction. We defined the user behavior and find the typical user behavior model through the big data. And group the use and provide the direction of internet social network business decision.