As the first step in the decommissioning of sasCommunity.org the site has been converted to read-only mode.


Here are some tips for How to share your SAS knowledge with your professional network.


Difference between revisions of "Solutions in the Round -- Big Data Efficiencies"

From sasCommunity
Jump to: navigation, search
(new page for SITR at WUSS 2017)
 
Line 1: Line 1:
Big Data, with data volumes in the millions, billions or more records, requires
+
==Introduction==
efficient processing to yield timely results. This session will discuss some
+
''From the WUSS abstract for this topic''
ideal approaches to processing Big Data.  Solutions in the Round (SITR) is a
+
 
roundtable format section where attendees discuss approaches and solutions to a
+
Big Data, with data volumes in the millions, billions or more records, requires efficient processing to yield timely results. This session will discuss some ideal approaches to processing Big Data.  Solutions in the Round (SITR) is a roundtable format section where attendees discuss approaches and solutions to a programming problem or SAS topic. Users from different perspectives and all experience levels are encouraged to participate.
programming problem or SAS topic. Users from different perspectives and all
+
 
experience levels are encouraged to participate.
+
==Discussion at WUSS==
 +
TBD
 +
 
 +
==Further Discussion -- Open to All==
 +
''Please join the conversation!  Also, if you were one of the live participants, please feel free to correct any mistakes or omissions from our original discussion.''
 +
 
 +
[[Category:SolutionsInTheRound]]
 +
[[Category:WUSS]]
 +
[[Category:WUSS 2017]]

Latest revision as of 16:15, 10 September 2017

Introduction

From the WUSS abstract for this topic

Big Data, with data volumes in the millions, billions or more records, requires efficient processing to yield timely results. This session will discuss some ideal approaches to processing Big Data. Solutions in the Round (SITR) is a roundtable format section where attendees discuss approaches and solutions to a programming problem or SAS topic. Users from different perspectives and all experience levels are encouraged to participate.

Discussion at WUSS

TBD

Further Discussion -- Open to All

Please join the conversation! Also, if you were one of the live participants, please feel free to correct any mistakes or omissions from our original discussion.