Building a Client/Server EIS

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Ralph McBride
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1 SEUGl j 95 Building a Client/Server EIS Walter Lauzani SEUGI '95 Stockholm Efficient systems design requires matching available technologies with specific business needs Tipical EIS Architecture.i.i.I Standard Reports Tableau de Borel Parameterized Reports Interactive Drill-down Multidimensional Analysis DSS.I CUENT Operational Data B... DATA ACCESS DATA MANAGEMENT SERVER Agenda Client I Server Basic Premises Client I Server models SAS System and Client I Server Client I Server models in a EIS application Client/Server Basic Premises Two or more computers Network.connection GUion client workstations Data on remote server Processing spilt between machines 649

2 r"'"~~ SEUGI '95 Building a Client / Server EIS Application Components Data Access and Data Management Terminal Emulation Tenninal Emulation model i Executive Inf. Systems Data Access I I Mainframe SeMlr UNIX Server Terminal Emulation SAS System only on the Server side Emulation software on the Client Centralised Data Warehouse All processes on a powerful CPU It doesn't require big Clients Network response time No Client exploitation - Server GUI No application partitioning File Servers 650

3 SEUGI '95 Building a Client / Server EIS File Server model in Relational Data Bases JU. Relational Data Base SAS System on the Client side SAS accesses the local SQl RDBMS For limited data volumes For small Queries Client exploitation Network traffic when large volumes of data Data Management on the client File Server model in Executive Inf. Systems JU. File Servers SAS System on both sides Data (and SAS programs) up-download For limited data volumes For small Queries Indexed datasets improve performances Explicit up-download in the application Client exploitation Network traffic with large volumes of data Remote Library Services in SAS System rrocarljv. ~. Remote Library Services SAS System on both sides Data up-download local data entry (FSEDIT) on remote data Transparent up-download in the EIS Excellent for limited data volumes Network traffic with large volumes of data 651

4 ~=""""' ~----~~ ~ SEUGI '95 Distributed Applications Distributed Applications Executive Inf. Systems Data Access N. N. Distributed Applications., Application partitioning Servers as Data and Compute Servers Data Management on the best CPU Data Reduction I SUmmarisation Data Analysis and iterative modelling (Reports and Graphs production) Download of the results Small amount of data Ready-to-display outputs Application Partitioning I Data Access I AppHcation Logic I EXCHANGE OF I APPUCATION SEGMENTS Application Partitioning -.-; \'.(V.1y~;y.~~ SAS is the same among platforms with functions and features Investmant protection Move applications segmanta even if the apphcatlon is in production Application tuning Get the best from each pladorm Peer to Peer model N. 652 I L

5 SEUGI '95 Peer to Peer Each platform la both Client and Server SAS on the server atarta.. aka in ol'ck,r to populate local SAS Data Warehouaea Oft line procesaea (I.e. night Jobs) Data ayncronlaatlon on all platforms Reducea the need of on-line Client I Server activities and preserve the EIS performances Three tier Client I Server Three tier Client I Server Three tier Client I Server,,' ol',;;" Transparent and deep User navigatl n through large amount of data Distributed SAS Data Warehouse with.-different levels of summarisation Real time access of operational DBMS when the Users need the latest data SAS/CONNECT Data Transfer Services Remote Library Services Remote Computing Services Peer to peer Flexibility to mix many CIS models in order to address any need of your EIS Standard Reports I TdB 1 - Terminal Emulation: remote printing 2 - CIS request of batch jobs: output produced remotely and printed locally or remotely 3 - CIS request of data download: output produced and printed locally. 653

6 SEUGI'95 Parameterized Reports 1 Terminal Emulation: remote printing 2 Local parameters request and remote execution. Output produced remotely and printed locally or remotely 3 Local parameters request, remote data management and data download. Output produced and printed locally. Interactive Navigation 1 Terminal Emulation 2 Local front-.nd Local navigation on summarized data 3 Transparent Remote tasks when details needed: Remote Data Access I Management Data Download or Remote Library Services Summary Building an optimised EIS application means to apply the right CIS model for each function. Better maintenance Hardware exploitation Protection of investments The SAS@ System for Client I Server EIS /J// SAS Institute UM,... "".. u... ~.. ==~~...r,.-:.:.-:.kc=:~l... SASc..-DrM,c.y,tIC,uu,m1l 654

SEUGI 96 Data Warehousing

SEUGI 96 Data Warehousing Sean Kelly,. About the presentation The Data Warehouse Network was established in 1992 to serve the needs of this market in Europe. Based in Ireland it provides seminars, consultancy