SAS Tips and Tricks

Summary

SAS Tips and Tricks consists of half days/full days of knowledge transfer in SAS programming language and are organized by an experienced and motivated SAS consultant who combines theory and demonstration to helps you refreshing your SAS skills, discover news technics and meet other experts.

Organized for employees, sessions are organized in our business center (near Brussels-North train station) and, to guaranty an optimal quality, the number of participants is limited to 8 persons. Contact us to assist to a session (scheduled or not) or click the register button in the course details, we will recontact you with more informations.

You cannot find a topic you would like to follow or would like to follow the session individually at your best conveniance? Please Contact us in order to see if we could organize a SAS Coaching that suits perfectly your needs.

Topic list

Level= Intermediate

At the era of the big data, it's very common to have lot of variables to manipulate in blocks of variables. Arrays and Do loops are powerful data manipulation tools that help make code more efficient for repetitive operation.

Level= Intermediate

Log files contains tons of useful information, they help you when you have syntax errors, warnings and notes but you could use your logs in order to monitor your daily processes and identify the potential bottlenecks.

Level= Intermediate

SAS Variable lists allows you to simplify the variable notations in your Data Step code. Very often we forget that capability of the SAS programing language which can be particularly useful when lot of variables have similar name and have to processed together.

Windows scheduler can be used to execute automatically SAS code at specific moment of the day or at specific days of the month. They execute the same code every time but, thanks to macro, the output result could change thanks to the environment (data, time, user (etc.).)

Gathering job statistics could help you to detect proactively problems in your data by comparing current values with their estimated values. The idea behind is to collect as much as possible information on your daily run processes (number of records, times it take, number of missing (etc.)) and store them in an historical table. If the values of the current run differs with the values of previous run for the same jobs, this could indicate potential problem.

Getting quickly metadata information on your datasets could be useful in some context of conditional execution of SAS programs (e.g.: Don't execute this step if empty dataset). Different methods exists to achieve that: using metadata functions, using Proc contents, or dictionary tables.

Using a SAS table to control job execution can be useful when lot of jobs have to be scheduled regularly but depending on circumstance some don't have to be scheduled. In normal situation we would have to adapt the job scheduler and this could be time consuming. You could use instead a SAS Dataset or Excel spreadsheet where all the jobs are listed with a flag variable indicating the list of jobs to schedule.

Level= Intermediate

SAS formats are instruction that SAS uses to write data values. You use formats to control the written appearance of data values, or, in some cases, to group data values together for analysis. You can create format manually with hardcoded values or from datasets, you can store them in permanent library, share them and also use build-in format (etc.) every thing you want to know about SAS format should be present in this tips and tricks.

Level= Intermediate

Indexes are special reference tables that the SAS engine can use to speed up data retrieval. Simply put, an index is a pointer to data in a table. In this tips and tricks we will discuss how you can create and use SAS indexes.