The client-server computing model is emerging as the networking architecture of the 1990s. This book describes in detail the client-server model - its architecture, components, benefits, and functions - as well as existing products and industry trends and standards. Systems and network integrators, project managers, and MIS/DP executives and decision-makers will find practical information on: the evolution of distributed systems and the place of the client-server architecture in distributed environments; open systems and standards - including the role of UNIX, UNIX International, and the Open Software Foundation - together with the OSF's Distributed Computing Environment; APPC/LU6.2, AIX, SAA, OS/2 and MS/DOS environments; distributed database management systems for mainframes and local area networks; a practical guide to DBMS products from the major vendors; client-server platform specialization, including GUIs, RISC, CISC, and symmetrical multiprocessing architectures; and various client-server implementations in use today. Filled with practical examples and recommendations, and with an emphasis on open systems and standards, this book is aimed both at IBM customers and proponents of the UNIX operating system. Readers will discover how client-server architecture allows companies to connect heterogeneous systems in a cooperative processing environment, provide a cost-effective approach to distributed data.

Client/Server Architecture (J. Ranade Series on Computer Communications)

Computers & Technology

Alex Berson

Networking & Cloud Computing

Mcgraw-Hill (Tx)

Building Data Mining Applications for CRM

How data mining delivers a powerful competitive advantage Are you fully harnessing the power of information to support management and marketing decisions? You will, with this one-stop guide to choosing the right tools and technologies for a state-of-the-art data management strategy built on a Customer Relationship Management (CRM) framework. Authors Alex Berson, Stephen Smith, and Kurt Thearling help you understand the principles of data warehousing and data mining systems, and carefully spell out techniques for applying them so that your business gets the biggest pay-off possible. Find out about Online Analytical Processing (OLAP) tools that quickly navigate within your collected data. Explore privacy and legal issues...evaluate current data mining application packages...and let real-world examples show you how data mining can impact -- and improve -- all of your key business processes. Start uncovering your best prospects and offering them the products they really want (not what you think they want)

Building Data Mining Applications for Crm

Stephen Smith

Kurt Thearling

Databases & Big Data

McGraw-Hill Text

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Books by Alex Berson