Data Structures (from Fraktal SAS Programming): Unterschied zwischen den Versionen
Zur Navigation springen
Zur Suche springen
K |
K |
||
| Zeile 10: | Zeile 10: | ||
* [[Meta Data Tables (from Fraktal SAS Programming)|Structure and organize your runtime information to get a maximum of code from a minimum of programming effort.]] | * [[Meta Data Tables (from Fraktal SAS Programming)|Structure and organize your runtime information to get a maximum of code from a minimum of programming effort.]] | ||
* [[SAS Formats (from Fraktal SAS Programming)|Enrich your basic data design by adding fields with a SAS technique for fast left outer joins.]] | * [[SAS Formats (from Fraktal SAS Programming)|Enrich your basic data design by adding fields with a SAS technique for fast left outer joins.]] | ||
| + | |||
| + | |||
| + | '''So, the answer is: ''"Data structures are the key to flexibility and efficiency in SAS programming!"''''' | ||
Version vom 1. Juli 2014, 09:17 Uhr
Why "Data Structures"?
As in other software systems, SAS makes use of purpose-related data structures, being aware of the advantages emerging from appropriately structured data.
Apart from nowadays well known data tables and data views, SAS provides the programmer with a generalized approach on views beyond SQL views as well as ultra-fast read-only structures for left outer joins and, finally, a metadata repository in physical memory (!) with support for hierarchical modular programming.
- Balancing storage demand, processing speed and flexibility at runtime by properly utilizing Tables and Views in SAS and DBMS.
- Structure and organize your runtime information to get a maximum of code from a minimum of programming effort.
- Enrich your basic data design by adding fields with a SAS technique for fast left outer joins.
So, the answer is: "Data structures are the key to flexibility and efficiency in SAS programming!"
