Survey
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
Efficient Data Access using SAS Enterprise Guide: Best Practices Chris Hemedinger Software Manager Enterprise Clients Copyright © 2005, SAS Institute Inc. All rights reserved. Data like water Copyright © 2005, SAS Institute Inc. All rights reserved. 2 Copyright © 2005, SAS Institute Inc. All rights reserved. 3 Agenda Overview of how SAS Enterprise Guide works Specific data access scenarios Considerations for building queries Copyright © 2005, SAS Institute Inc. All rights reserved. 4 Geography of SAS Enterprise Guide SAS Integration Technologies SAS/ACCESS SAS Application Server OLEDB / ODBC / etc. SAS Enterprise Guide Copyright © 2005, SAS Institute Inc. All rights reserved. Data source 5 File->Open: Decisions, decisions… Copyright © 2005, SAS Institute Inc. All rights reserved. 6 Scenario: Data in Oracle Database One way: Use ODBC driver on Windows to get to Oracle Copyright © 2005, SAS Institute Inc. All rights reserved. 7 Scenario: Data in Oracle Database (continued) Better: Use SAS/ACCESS to Oracle to define a SAS library libname ORACLE2 oracle user=scott password=tiger path='hrdept_002'; Copyright © 2005, SAS Institute Inc. All rights reserved. 8 Scenario: Data in Oracle Database (continued) Alternative: Use SAS/ACCESS to ODBC to access a DSN that gets to Oracle Copyright © 2005, SAS Institute Inc. All rights reserved. 9 Scenario: Data in PC database file One way: Open data directly in Enterprise Guide for use in analysis Copyright © 2005, SAS Institute Inc. All rights reserved. 10 Scenario: Data in PC database file (continued) Better: Use Import Data task to create SAS data table, then begin analysis Copyright © 2005, SAS Institute Inc. All rights reserved. 11 Considerations for Queries Query builder can be a one-stop shop for data manipulation • Expressions, joins, filters All work is done using PROC SQL Copyright © 2005, SAS Institute Inc. All rights reserved. 12 Considerations for Queries (continued) Copyright © 2005, SAS Institute Inc. All rights reserved. 13 Considerations for Queries (continued) When performing joins, decide which server to use Copyright © 2005, SAS Institute Inc. All rights reserved. 14 Considerations for Queries (continued) Goal: Pass as much work as possible to the database Query builder is “database agnostic” Relies on implicit pass-through Copyright © 2005, SAS Institute Inc. All rights reserved. 15 Considerations for Queries (continued) Example of pass-through OK CREATE TABLE SASUSER.QURY3428 AS SELECT CUSTOMERS.CUSTOMER FORMAT=$8., CUSTOMERS.STATE FORMAT=$2., CUSTOMERS.ZIPCODE FORMAT=$7., ... FROM ORACLE.CUSTOMERS AS CUSTOMERS WHERE UPCASE(CUSTOMERS.COUNTRY) = “CANADA”; Copyright © 2005, SAS Institute Inc. All rights reserved. 16 Considerations for Queries (continued) Example of no pass-through CREATE TABLE SASUSER.QURY3428 AS SELECT CUSTOMERS.CUSTOMER FORMAT=$8., CUSTOMERS.STATE FORMAT=$2., CUSTOMERS.ZIPCODE FORMAT=$7., ... FROM ORACLE.CUSTOMERS AS CUSTOMERS WHERE STNAME(CUSTOMERS.STATE) = "MARYLAND"; Copyright © 2005, SAS Institute Inc. All rights reserved. 17 Summary Know your “data geography” Analyze each data access scenario – follow the flow Consider your queries Copyright © 2005, SAS Institute Inc. All rights reserved. 18 Copyright © 2005, SAS Institute Inc. All rights reserved. 19