Information Management and Platform Refinement for Big Data

Information management and related applications are being vigorously researched and developed. According to IDC research reports, the global market for information management is forecasted to grow by 30 percent annually (from a value of 8 billion US dollars in 2012, to a forecasted 24 billion US dollar value in 2016). Both reports explicitly identify the significant growth in the importance of information management and related services in the future. This paper will discuss and analyze our development in topic-specific applications, namely the collection, access, and enrichment of massive data. Through the development of adaptive file access technology and the combination of distributed storage (i.e. Hive, HBase, etc.) with In-Memory algorithmic technologies, we will be able to have the system adjust data storage policies and increase efficiency through the identification of data types and some algorithmic properties. Based on the virtual machine migration technology, we utilize the mass data processing workload to dynamically migrate the virtual computing node. This can automatically adjust virtual resources to achieve outstanding calculation and localization of data through parallel execution of multiple mass data management processes, and maximize massive data processing efficiency. In the future we plan to progressively seek potential clients and partners, from which we will tailor a variety of field tests according to our clients´ needs. And through this process, is where we will gradually achieve technical and application verifications.