Process Data using DSL (from Fraktal SAS Programming): Unterschied zwischen den Versionen

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Hence, the most common scenario met by '''''SAS''''' coders is working on data which are already in tabular format. These are not as aged as, but quite near to the concept '''''SAS''''' uses for its proprietary table format known as '''''SAS datasets'''''.
 
Hence, the most common scenario met by '''''SAS''''' coders is working on data which are already in tabular format. These are not as aged as, but quite near to the concept '''''SAS''''' uses for its proprietary table format known as '''''SAS datasets'''''.
  
Since 1990 the '''''SAS''' Multiple Engine Architecture'' provides a continuously growing number of means to seamlessly integrate data tables managed by 3rd party database servers. To the '''''SAS''''' programmer these means are known as ''engines'' that provide mainly read/write interaction with particular [[DBMS Interaction (from Fraktal SAS Programming)|database servers]].
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Since 1990 the '''''SAS''' Multiple Engine Architecture'' provides a continuously growing number of means to seamlessly integrate data tables managed by 3rd party database servers. To the '''''SAS''''' programmer these means are known as ''engines'' that provide mainly read/write interaction with most [[DBMS Interaction (from Fraktal SAS Programming)|data sources]] used in professional IT.
  
  

Version vom 8. Juli 2014, 16:42 Uhr

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In 21st century data processing data are kept in databases managed by active server software already listed elsewhere in these guidelines.

Hence, the most common scenario met by SAS coders is working on data which are already in tabular format. These are not as aged as, but quite near to the concept SAS uses for its proprietary table format known as SAS datasets.

Since 1990 the SAS Multiple Engine Architecture provides a continuously growing number of means to seamlessly integrate data tables managed by 3rd party database servers. To the SAS programmer these means are known as engines that provide mainly read/write interaction with most data sources used in professional IT.


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