Auto-tools/Projects/ActiveData/Redshift: Difference between revisions

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(wording, and split sections)
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==Philosophical Lesson==
==Philosophical Lesson==
It is apparent to me now that a performance comparison cannot be thorough without a product specialist to guide the optimization process.  Absent of a specialist how can one decide if a new product is better?  We run the risk of over analysis, driven by fear of missing a shallow optimization.  Clearly, if the product performs better out-of-the-box than your existing, (assumed optimized) solution, then the answer is easy.  But, even “out-of-the-box” can take a significant amount of time, like this case of Redshift.


It is apparent to me now that a performance comparison cannot be thorough without a product specialist to guide the optimization process.  Absent of a specialist how can one decide if a new product is better?  We run the risk of analysis paralysis – over analysis driven by fear of missing a shallow optimization.  Clearly, if the product performs better out-of-the-box than your existing, (assumed optimized) solution, then the answer is easy.  But, even “out-of-the-box” can take a significant amount of time, like this case of Redshift which I consider a reasonable waste of time
== More References ===
 
For now I am going to make myself a rule:  Do not attempt adopting a technology unless you know someone who has personally *suffered* (aka push-the-limits) of that new tech, AND is still using it.  Only then do you really know what limits you are going to hit.
 
These links were a help, and are more relevant to scaling Redshift in general.
These links were a help, and are more relevant to scaling Redshift in general.
* http://dailytechnology.net/2013/08/03/redshift-what-you-need-to-know/
* http://dailytechnology.net/2013/08/03/redshift-what-you-need-to-know/
* http://blog.blazeclan.com/what-is-amazon-redshift-11-key-points-remember/
* http://blog.blazeclan.com/what-is-amazon-redshift-11-key-points-remember/
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