True knowledge exists in knowing that you know nothing. And in knowing that you know nothing, that makes you the smartest of all. The corporate data is strategi cally important to modern en terprises. More than ever businesses are literally drawn in data. Consolidating data storage technology products for Storage Area Networks (SANs) and Network Attached Storages (NAS), IBM has announced new systems offering massive scalability of up to 1,176 terabytes for large data center storage needs. Most recent Internet projections by Discovery Institute have raised the existing data to zettabyte level, i.e. 1021 bytes by 2011. Nevertheless, a timely, accurate and unlimited data access to corporate data resources is required in order to make correct and precise decisions. Among contemporary IT achievements which have enabled these processes is certainly secure information superdistribution, an alternative to ailing DRM, new video and mobile applications based on Peer2Peer paradigm.
Most important remains the feeling of freedom, of unrestricted Web access, allowing the use of Business Intelligence (BI) high-performance solutions, variety of new types of data storage and innovative approaches of processing large knowledge databases. BI has allowed managers imaginative decision-making approaches in order to implement sophisticated business models that helped redefine the entire enterprise-wide business processes and promote a virtual enterprise concept throughout. The enterprises are facing tougher competition due to saturated market forces and the trend of global reach facilitated by advances in IT. The increased use of customization and personalization attributed even to standard of-the shelf applications along with the upsurge of information demand has revolutionized the market forces.
Acknowledged Web market feature to date is that buyers are pulling rather than sellers pushing the market. Moreover, due to dynamical political changes, institutionalization, growing state regulation and stakeholders' interests, the Web becomes more obscure than ever. Our goal is to follow the information data stream from its Data Warehouse source as we apply ETL (Extraction, Transformation, and Load) and business intelligence processing, eventually, learning something as we arrive at the knowledge destination. Along the way, probably, one becomes more experienced, knowledgeable, someone may even say smarter, blessed with wisdom. |