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In the SAS program file above, DATA is the keyword that starts the data step, meaning that it tells SAS to create a dataset.

Only two kinds of steps make up SAS programs: DATA steps and PROC steps. A SAS program can contain a DATA step, a PROC step, or any combination of DATA steps and PROC steps. The number and kind of steps depend on what tasks you need to perform. What are the components of a SAS program? - SAS Support sas.com https://support.sas.com › products › sas-studio › faq › pr... sas.com https://support.sas.com › products › sas-studio › faq › pr...

4 How to choose the best option Combining both methods can be beneficial when needing to perform a mix of operations that are best suited for each method; for example, proc sql can be used to join multiple tables and create summary statistics while data step can be used to filter, transform, and create new variables. How do you decide when to use SAS data step vs proc sql for ... - LinkedIn linkedin.com https://.linkedin.com › advice › how-do-you-decide... linkedin.com https://.linkedin.com › advice › how-do-you-decide...

While querying a DICTIONARY table, SAS launches a discovery process. Depending on the DICTIONARY table being queried, this discovery process can search libraries, open tables, and execute views. The PROC SQL step runs much faster than other SAS procedures and the DATA step.

SAS is a data analysis package. It relates to SQL Server and Access in that a relational database can be used as a data source in SAS. Copy link CC BY-SA 3.0. What is SAS when it pertains to databases? - Stack Overflow stackoverflow.com https://stackoverflow.com › questions › what-is-sas-when... stackoverflow.com https://stackoverflow.com › questions › what-is-sas-when...

The SAS data step uses Merging techniques to join tables while PROC SQL uses join algorithms. PROC SQL offers more flexibility in joins: you don't necessarily have to join on same named columns, nor are you limited to joining only on equality, nor do you have to explicitly pre-sort data. Why choose between SAS data step & PROC SQL when you can have both pharmasug.org https://.pharmasug.org › PharmaSUG-2018-QT09 pharmasug.org https://.pharmasug.org › PharmaSUG-2018-QT09

If you use the SET statement in a DATA step to concatenate two data sets, SAS must process all the observations in both data sets to create a new one. The APPEND statement bypasses the processing of data in the original data set and adds new observations directly to the end of the original data set.

The DATA STEP is recommended because it allows the user more control over how variables are input (e.g., variable lengths and formats). However PROC IMPORT can provide a useful first pass, and generates explicit DATA STEP code in the SAS log file that can be modified for a second pass run.