Database major Oracle expects new technologies such as grid computing and RFID to fundamentally change the economics of the IT industry. |
Addressing the media, Oracle Server Technologies senior vice-president Thomas Kurien said that requirements of an enterprise today involve flexible low-cost IT infrastructure, flexible modern business applications, real-time information processing, faster and better business decisions and sharing of information efficiently. |
And the straegy for Oracle to address these needs include focusing on technologies such as Grid computing, RFID and other technologies such as service-oriented architecture. |
Standardisation, consolidation and automation are the requirements of an enterprise, which can be addressed with grid computing. Grid computing eases the managebility issues in case of huge number of applications and servers. |
For an enterprise to address rapid responses they have to create a services infrastructure, increase reuse of application component, automate end-to-end processes, reduce integration overhead. All of this can be addressed, he explained if there is a service oriented architecture evolved. |
Oracle, he said, has been aligning its sales force to help address the various issues. They have recently introduced the standard edition one database as well as application server that is focussed on making technology easier for SME's. |
Meanwhile, Oracle Corporation Malaysia has awarded Sierra Atlantic, the Oracle Applications Reseller of the year 2004 from among its partner community in Malaysia. This award gave recognition to Sierra Atlantic for its contribution to the growth in the adoption of Oracle E-Business Suite by providing quality development, implementation and support services to Malaysian customers. |
Further, META spectrum report for data mining recognises Oracle Data mining as a leader in its field. Oracle was recognised as the leader based on 15 categories measured by the META group, including the company's ability to execute and pricing. |
Data mining enables organisations to extract previously hidden information from their data. |