Abstract: A fast index creation system for a cloud big data database electrically and communicatively coupled to a cloud non-relational database for inquiring and creating an index includes an application exchange module, a data exchange module, a first processing module, a second processing module and an integrated processing module. The application exchange module receives a query string inputted by a user and prompts a result index table. The data exchange module has a temporary index table. The first processing module computes the query string and generates a query instruction to compute a temporary index table for comparison and check if there is any data matched with the query instruction. If yes, then the first processing module will generate a cache index table, or else the first module will generate a create instruction provided for the second processing module to compute a non-relational database and generate a new index table.

Abstract: Disclosed is a system for accessing data of a cloud database via transparent technology, and the system includes at least one channel server and at least one cloud database end. When a connection notice is outputted from an application end, the user channel unit detects a first server address and a first database address in a HTTP data format, and connects to a corresponding channel server via the HTTP tunnel to send a database request, so that the channel server can convert the first database address in the HTTP data format into a TCP/IP data format and then connect to a corresponding database end. Therefore, the application end can access data from the database behind the firewall via the Internet without modifying any program code.

Abstract: An automatic data index establishment method includes the steps of comparing a data index existed in at least one table when a database inquires at least one query to obtain the data index correspondingly and directly uses the data index to search related data. If the query has no corresponding data index, a Where Condition field, a Sorting field and a Group By field of the query are recorded and integrated to automatically generate the newly established data index and fill the data index into the table correspondingly. Therefore, the database has intelligent functions with automatic analysis to automatically generate, update, and delete the data index, so as to achieve the effects of enhancing the accuracy and execution efficiency of the data management and reducing the manpower of data managers effectively.