Enterprise Client/server Technology: Massively Parallel Processing for Business
International Thomson Computer Press, 1995 - Computers - 299 pages
As the processing engine of enterprise data applications, MPP will help drive forward client/server computing into the corporate date center. Some far-sighted organizations such as American Express, Dow Jones and Prudential Bache have implemented MPP systems to help derive strategic value from the mountains of data that they gather. This book is intended for managers in business, marketing and information technology who are involved in making strategic decisions about appropriate technology platforms. It will also be an important guide for systems and database administrators requiring some technical background in MPP to aid them in supporting the very large and demanding database applications that will be critical to business viability and success in the late 1990s.
76 pages matching communications in this book
Results 1-3 of 76
What people are saying - Write a review
We haven't found any reviews in the usual places.
The business forces driving fundamental changes
Commercial MPP usage in a clientserver world
3 User proﬁles and case studies
16 other sections not shown
achieve adoption applications approach architecture areas bandwidth become beneﬁts capabilities client client/server commercial communications competitive complex corporate cost customers data centre data warehouse database deﬁned deﬁnition demand difﬁcult disk distributed distributed computing enterprise environment exploit ﬁle ﬁnancial ﬁrst functionality hardware platforms hardware vendors IBM’s implementation important increased Informix infrastructure investment issues JALIC large-scale latency mainframe massive massively parallel processing memory microprocessor midrange MPP platforms MPP RDBMS MPP systems MPP technology OLAP OLTP operating systems Oracle organizations overall parallel computing parallel processing performance personal computer potential problem proﬁle proprietary query RDBMS instance RDBMS platform RDBMS vendors relatively requirements resource scalability server server computing shared shared-memory signiﬁcant single small number solution speciﬁc strategic sufﬁcient suppliers switch Sybase TCP/IP technical Teradata tions today’s transaction UNIX users workload workstations