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Another 5-Star Review 
Forgive me for sharing a review, but I only now read a very interesting experience for yet another reader of "An Interview":

"I am so glad I chose to read this book as I wanted to read something with spiritual meaning as was lacking faith in myself and I wanted to assess my life. This book answered all my questions and doubts. I read it within two days as I just couldn't put it down. After reading this book a felt uplifted and enlightening. I definitely have been embraced by the light and feel I will be able to build better relationships with people. My faith has been restored and most importantly to me I learned the difference between salvation and exaltation. I am so glad I came across my book it had so much meaning and I learned so much and about myself too." (Note: I corrected some spelling = Not everyone is using Firefox!)

If you are like me, then perhaps you appreciate reviews from "Amazon Verified Purchasers" the most?

Here is one like the above - from a reviewer of the original manuscript - when I was doubting if a professional consultant should even publish such a book:

"I am on page 56 of your manuscript - I can hardly bear to put it down and go to bed! It is an incredible gift that you have given me to read this account. I believe that it will go on to be one of our times' great literary works. You will be judged if you do not publish it.

God bless you.
Gary
"


Available on Kindle.


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Man -v- Pig 
Whenever something is slow, unwieldy & wallowing in muck, colloquial English has reserved an animal cat-call for us to use... Never as responsive as stand-alone Map Reduce (well, in production at least!) such is obviously the legacy for Hadoop Pig.



Yet while Pig is indeed getting faster with each and every release (Gotta love C/C++), sometimes piggy-job slowdowns can get downright scary. Indeed, those who use HUE and / or the Hortonworks VM via the Pig-Page will feel that we have encountered a new performance-low.

Not to worry though - When working from the VM Command line, those 26 & 48 second 3-line pig-scripts will get back to running in well under 2 - 3 seconds. (Really!)

The way is easy: Simply log-into your VM via the console prompt so as to execute Pig directly:
pig -x local

Of course, once running Pig, the massive amount of information and warning messages can also seem positively ludicrous.



Here again, in the Man -over -Pig struggle at Hadoop Acres, a local configuration file is all that we need:



Useful for both R&D as well impromptu Production spelunking, here be the content for log4j.prop:
log4j.logger.org.apache.pig=ERROR
log4j.logger.org.apache.hadoop=ERROR

The cut-and-paste fodder for starting up our quiet-pig pen is simply:
pig -x local -4 log4j.prop

You will still be able to get those all-important errors:



Finally, simply leave-off that -4 clause when you want all of that glorious detail back again.


Enjoy the Journey!

-Rn

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New Project: Hadoop9000 
For the benefit of folks who will either be taking our Hadoop training, or are interested in having a copy of the latest stable Hadoop (a copy that they can debug / tweak / re-build on-their-own), then we just created the "Hadoop 9000" Project.

Weighing in at 3.5GB, the VirtualBox Virtual Machine (OVA Appliance) will be uploaded sometime this week.

Cheers,

-Rn


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