| Description |
All organizations depend on the accurate and timely presentation of information to employees, customers, suppliers, shareholders and the government for their survival. Many people and organizations are still holding on to older models of data management that fail to utilize the full power of the PC and other enterprise applications. Managing data from multiple sources including external downloads, data links and manual data entry is challenging for any corporate. Cheap, powerful computing and networking have created countless new applications that could not have existed a decade ago. The advent of the World-Wide Web, and its influence in driving the Internet into homes and businesses, is one obvious example.
Data Management is the process of planning, coordinating and controlling an organization’s data resources. More often, applications need to store and search a large amount of data, or structurally complex data. Managing Data has been continuously challenged by demands from various areas and applications and has evolved in parallel with advances in hardware and computing techniques. New applications, issues, and emerging technologies such as Data Warehousing and Data Mining, Bioinformatics, Multimedia Databases, Object-Oriented Databases, Trust Management, and Security have compelled database specialists to revisit areas of data modeling, query languages, storage, and internet compatibility. The convergence of high-performance computing, global high-speed communications advanced sensing and data analysis is driving the next wave of information-age business transformation.
This conference would attempt to identify, document & explore the issues, problems and challenges in Data Management.
|
|
