Storing and Handling Complex Content for Large-scale Data

摘要

At present, the increasing growth and pervasive development of mass data raise the challenge for big data storage. When it came to large-scale data, storage and handing method of complex data were the key problems to be settled. From big data source, we studied several problems of massive data: the big data platform framework and landing, the storage mechanism and data handling of large-scale data, the node-fault handling of mapreduce and pregel superstep, spark streaming based on the storage memory, and BlueDBM-The other forms of memory storage in massive data etc. It offered storing and handling complex content for large-scale data and support the further research of big data technical challenges, support for the application of it.