Скачать или смотреть Data-Driven Programming Techniques Using SAS

Data-driven programming, or data-oriented programming (DOP), is a specific programming paradigm where the data (and/or data structures) controls the flow of a program and not the program logic. Often, data-driven programming approaches are applied in organizations with structured and unstructured data for filtering, aggregating, transforming and calling other programs. This presentation explores several data-driven programming techniques that are available to SAS users. Topics include using the CALL EXECUTE routine to process (or execute) code generated by a DATA step; constructing custom user-defined formats from your data; and using the SQL procedure to create single-value (aggregate) and value-list (array) macro variables along with the macro language to automate a looping process to create exciting data-driven scenarios.

PRESENTER:
Kirk Paul Lafler, @sasNerd
SESSION ID: 1023
TOPIC: Programming: General Programming
INDUSTRY: Non-Industry Specific
AUDIENCE: Analyst, Data Scientist, Programmer
SKILL LEVEL: Appropriate for all levels

Learn more about SAS software
◉ Free SAS Online Training - https://www.sas.com/en_us/training/of...
◉ Contact SAS - https://www.sas.com/en_us/contact.geo...


SUBSCRIBE TO THE SAS USERS YOUTUBE CHANNEL #SASUsers #LearnSAS #SASGF
https://www.youtube.com/SASUsers?sub_...

ABOUT SAS
SAS is a trusted analytics powerhouse for organizations seeking immediate value from their data. A deep bench of analytics solutions and broad industry knowledge keep our customers coming back and feeling confident. With SAS®, you can discover insights from your data and make sense of it all. Identify what’s working and fix what isn’t. Make more intelligent decisions. And drive relevant change.

CONNECT WITH SAS
SAS ► https://www.sas.com/contact
SAS Customer Support ► https://support.sas.com
SAS Communities ► https://communities.sas.com
SAS Analytics Explorers ► https://explorers.sas.com
Facebook ►   / sassoftware  
Twitter ►   / sassoftware  
LinkedIn ►   / sas  
Blogs ► https://blogs.sas.com
RSS ►https://www.sas.com/rss