Member since
12-09-2015
19
Posts
12
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1
Solution
My Accepted Solutions
Title | Views | Posted |
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1857 | 09-19-2016 08:17 PM |
03-22-2017
04:07 PM
Thanks for the info, @George Vetticaden. How do you get around the AGPL license on JPMML? Are you limited to only using the older version which is under BSD?
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03-21-2017
06:35 PM
1 Kudo
I'm trying to determine which PMML evaluator Streamline uses to back the PMML component. Given the conversation listed below, Apache-compatible PMML evaluators are hard to come by. https://community.hortonworks.com/questions/3020/anyone-know-of-a-java-pmml-evaluator-with-an-apach.html
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09-19-2016
08:17 PM
2 Kudos
It was my own stupid mistake. I was installing redhat dependencies from a 6.5 repository rather than 6.7. Pointed my RHEL repo to a 6.7 one and all completed perfectly. Thanks @Terry Padgett for the help.
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09-16-2016
07:04 PM
1 Kudo
Has anyone successfully completed an installation of HDP 2.5.0 on RHEL 6.7? The documentation says it support 6.X, but I'm getting the following error: resource_management.core.exceptions.Fail: Execution of '/usr/bin/yum -d 0 -e 0 -y install hadoop_2_5_0_0_1245-yarn' returned 1. Error: Package: 1:cups-1.4.2-50.el6_4.5.x86_64 (rhel6)
Requires: cups-libs = 1:1.4.2-50.el6_4.5
Installed: 1:cups-libs-1.4.2-72.el6.i686 (@anaconda-RedHatEnterpriseLinux-201507020259.x86_64/6.7)
cups-libs = 1:1.4.2-72.el6
Available: 1:cups-libs-1.4.2-50.el6_4.5.i686 (rhel6)
cups-libs = 1:1.4.2-50.el6_4.5
You could try using --skip-broken to work around the problem
You could try running: rpm -Va --nofiles --nodigest 1:1.4.2-50.el6_4.5 appears to be the version which shipped with RHEL 6.5. Is there support for HDP 2.5.0 on RHEL 6.7?
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Hortonworks Data Platform (HDP)
08-08-2016
04:05 PM
Thank you, @Eyad Garelnabi and @Sunile Manjee . The database portion is where my primary concerns were. Eyad, are you layering Phoenix on top of HBase for querying?
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08-08-2016
01:46 PM
2 Kudos
Has a consensus formed around the best tool stack for implementing the Lambda Architecture on HDP? I'm particularly interested in the "serving" and "speed" layers. In "Big Data: Principles and best practices of scalable real-time data systems", Nathan Marz mentions using ElephantDB for the serving layer, but I'm trying to limit myself to tools included in the HDP/HDF stacks.
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Apache Storm