A Query System Based on Hbase for Stock Trends
| Autor: | Chiung-Yu Chang, 張瓊玉 |
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| Rok vydání: | 2015 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 103 In order to react to the rapid development on the Internet, TWSE allowed opening the network business transaction. With the government and the folk enterprises’ active promotion, the stock trading information can be more transparent and also can be more effective and safer. However, a following problem is while the masses are facing a large number of stock information, how they can effectively make instant decisions. Particularly, now that we are living in the Big Data era, the volume and variety of data are growing at an astonishing rate. Since the traditional database system cannot afford to digest these large statistics and the efficiency of processing data cannot meet user’s need, HBase was introduced to solve these problems. It not only can digest unlimitedly growing data, but also can automatically create new columns to avoid the situation that unexpected data cannot be increased to the current database. Hence, the application of HBase can enhance the system’s flexibility. This essay introduces a platform based on HBase as a storage medium that can provide high capacity, high fault tolerance, and high efficiency environment for investors to quickly search stock information via this stable platform as well as building their own personal form to quickly find out the investment index. More importantly, this essay employs a common financial analysis technique, i.e., the linear regression formula, to discuss if there is any relative relationship between the stability of stock growth and transaction volume. By using the above searching function for price deviation, the investors can make more precise decisions through the varieties of parameters, which make the analysis much wider. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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