Research and Application of Offline Log Analysis Method for E-commerce Based on HHS

Today, with the rapid development of Internet technology, the storage, analysis and mining of massive data have become an important technical topic in the era of information explosion. The big data technology architecture based on Hadoop, Hive and Sqoop (HHS) has become a popular general architecture for the analysis and processing of massive data. With the support of HHS open source technology, the processing of massive data can effectively promote the speed and quality of information analysis. Based on the HHS open source suite, a complete e-commerce offline log analysis system is designed to conduct targeted analysis of business and user behavior, providing a sample case for general e-commerce offline analysis service.