IBM's DB2 Universal Database demonstrations at VLDB'98
نویسندگان
چکیده
Today’s competitive business climate dictates that companies derive more information out of their databases. Analysts looking for business trends in their company’s database pose increasingly complex queries, often through query generator front-end tools. Businesses must extract as much useful information as possible from the large volumes of data that they keep, making parallel database technology a key component of such business intelligence applications. Enterprises and independent software vendors continue to require support for more application productivity and capability. And many growing enterprises have data stored in many systems, often both tile systems and database systems from a variety of vendors. All of these areas contribute to high performance at low cost. Being able to access and manage this data with high performance, fast response time and low total cost of ownership is a compelling advantage in business today.
منابع مشابه
Transaction Processing and Distributed Computing in the Internet Age (conf.invitée)
Dr. C. Mohan joined the IBM Almaden Research Center as a Research Staff Member in 1981. In June 1997, he was named an IBM Fellow for being recognized worldwide as a leading innovator in database transaction management. He received the ACM SIGMOD Innovations Award in 1996 in recognition of his innovative contributions to the development and use of database systems. In 1992, he was elected to the...
متن کاملAutomated design of multidimensional clustering tables for relational databases
The ability to physically cluster a database table on multiple dimensions is a powerful technique that offers significant performance benefits in many OLAP, warehousing, and decision-support systems. An industrial implementation of this technique for the DB2® Universal DatabaseTM (DB2 UDB) product, called multidimensional clustering (MDC), which co-exists with other classical forms of data stor...
متن کاملEvolutionary Integration of In-Memory Database Technology into IBM's Enterprise DB2 Database Systems
Recently, IBM announced Blink Ultra (BLU) as an in-memory enhancement for DB2 for Linux, Unix, and Windows. The technology implemented in BLU was tested in various stages until it founds its current form as DB2 feature. In this paper, we give a brief summary on the origins of BLU and the adoption process from the BLINK prototype over the IBM Smart Analytics Optimizer to BLU itself.
متن کاملDB2 Spatial Extender - Spatial data within the RDBMS
Much of the data that we encounter has a spatial (geographic locational) aspect yet this has not been readily exploited by traditional RDBMS. Over the past five years there has been a confluence of Geographic Information System (GIS) technology, RDBMS architecture and SQL standards that has fostered the implementation of spatial processing within the RDBMS. This paper will present a brief overv...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 1998