This course is for SAS programmers who prepare data for analysis. The comparisons of manipulation techniques and resource cost benefits are designed to help programmers choose the most appropriate technique for their data situation.

Learn how to compare various SAS programming techniques that enable you to

• benchmark computer resource usage
• control memory, I/O, and CPU resources
• create and use indexes
• combine data horizontally
• use hash and hiter DATA step component objects and arrays as lookup tables
• compress SAS data sets
• sample your SAS data sets
• create and use SAS data views
• safely reduce the length of numeric variables
• create user-defined functions and subroutines.

Who should attend

Experienced SAS programmers

Duration:  3 days

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This course is not appropriate for beginning SAS software users. Before attending this course, you should have at least nine months of SAS programming experience and should have completed the SAS Programming 2: Data Manipulation Techniques course. Specifically, you should be able to do the following:

• understand your operating system file structures and perform basic operating system tasks
• understand programming logic concepts
• understand the compilation and execution processes of the DATA step
• use different varieties of input to create SAS data sets from external files
• use SAS software to access SAS libraries
• create and use SAS date values
• read, concatenate, merge, match-merge, and interleave SAS data sets
• use the DROP=, KEEP=, and RENAME= data set options
• create multiple output data sets
• use one dimensional array processing and DO loops to process data iteratively
• use SAS functions to perform data manipulation and transformations
• use the FORMAT procedure to create user-defined formats.

This course addresses Base SAS software. This course is appropriate for students who are using SAS 9 software.

Introduction

• overview of SAS Foundation
• course logistics
• measuring efficiencies

User-Defined Function

• creating user-defined functions

Controlling I/O Processing and Memory

• SAS DATA step processing
• controlling I/O
• controlling data set size
• compressing SAS data sets

Accessing Observations

• creating an index
• using an index
• creating a sample data set

Using DATA Step Arrays

• using one-dimensional arrays
• using multidimensional arrays
• loading a multidimensional array from a SAS data set

Using DATA Step Hash and Hiter Objects

• introduction
• using hash object methods
• loading a hash object with data from a SAS data set
• using the DATA step hiter object

Combining Data Horizontally

• DATA step merges and SQL procedure joins
• using an index to combine data
• combining summary and detail data
• combining data conditionally

Combining Data Horizontally

• DATA step merges and SQL procedure joins
• using an index to combine data
• combining summary and detail data
• combining data conditionally

Learning More

• SAS resources
• next steps