The study examines the organization of a new business for harvesting and processing wild plants based on development traditional industries, trades crafts rural residents. As process solutions, block design justifications is presented, aimed at developing practical measures stated topic. In particular, emphasis placed economic justification social significance when organizing plants. substantiv...

A decision maker wants the pool of data at the finger tip while making the decision. In state of the art applications, decision making is no more a centralized process. Distribution of resources is a challenge before the system designers. Besides, for timely analyzing the distributed data, a robust query processing system along with the physical storage with schema definitions are also necessar...

At present, enterprises have urgent needs to conduct an effective and stable statistical analysis on big data. With a view to solving the issue of analysis and processing of big data in respect of enterprise business, this essay proposes a hybrid structure mode based on the MapReduce technology and the parallel database technology, discusses the principle on which the mode is used to realize th...

Radio Frequency Identification” (RFID) promises to enable an automatic collection of shopping data for business intelligent purposes. Three important components of intelligence have been identified for systems; ability to predict, ability to adapt and ability to take appropriate action. While extensive research has been done on shopping assistants and the use of RFID in the grocery industry, th...

In data warehousing, Extract-Transform-Load (ETL) extracts the data from data sources into a central data warehouse regularly for the support of business decision-makings. The data from transaction processing systems are featured with the high frequent changes of insertion, update, and deletion. It is challenging for ETL to propagate the changes to the data warehouse, and maintain the change hi...

Data Grid has been adopted as the nextgeneration platform by many scientific communities to share, access, transport, process, and manage large data collections distributed worldwide. The increasing popularity of Data Grid as a solution for large dataset issues as well as large-scale processing problems promises the adoption of many organizations that have a great demand at this moment. This re...