With the popularity of digital living space, the amount of information the world is showing explosive growth. Based on this trend, the rise of the new concept is widely big data, cloud computing and the new paradigm, which undoubtedly is leading a new wave of the Internet wave.
Big data collected by Internet marketing is a large amount of behavioral data, and do technical analysis and prediction of big data to help advertisers identify the target audience, the content of this advertising, time, and other forms of pre-sentence and deployment, and the final completion of the marketing process advertising.
And traditional advertising, "half of advertising is wasted," compared to big data marketing to the maximum extent, so that advertisers put a definite purpose, and the effect of real-time feedback, timely delivery strategy adjustment.
Because the traffic is too large, the whole collection because of the huge amount of spending, and become impossible. How to extract user behavior data associated with the portrait of the huge amounts of data, big data marketing system is a key part.
The front end of the original data link may be collected into the network at different rates splitter, the splitter extracts the network data packets HTTP GET request and a DNS request for portraits and precise user PPC, filtered and other users independent of flow behavior, by this method for large data preprocessing, can greatly reduce the pressure on the server back-end data analysis, reducing overall system cost.
