Nifi is not the best tool to do table joins. It will be able to do some transformations, but the heavy lifting should be done with spark or storm (if real time is needed). Have a look at this thread: https://community.hortonworks.com/questions/64667/joining-tables-within-nifi.html ... View more

Could you please clarify the question? What exactly are you trying to do? Would you like to have a jupyter notebook in the webpage so someone can interact with it? You would like to deploy the jupyter code as part of web page? Or have you built a model in jupter and would like to pull info from the webpage? ... View more

Mainly it's because of performance reasons. Have a read through this: https://community.hortonworks.com/questions/27567/write-performance-in-hdfs.html#answer-27633 ... View more

This post might be interesting and answer the question: https://community.hortonworks.com/questions/115235/how-to-use-grok-and-java-parsers-in-metron.html ... View more

Smartsense doesn't have a cost as such, because it comes as part of support subscription. And the cost of support subscription is going to depend on what components of HDF or HDP you have, how many nodes or CPUs are in use. Once you get support subscription, customer needs to acquire a smartsense ID, but it's pretty straight forward, more like registering step... ... View more

If you are beginner and want to start with ML, I'd suggest ditching Mahout and better learn Spark. Mahout is older project, which uses MapReduce. Spark on the other hand is in memory processing, and way more developed. There's literally no one that uses Mahout... everyone is focusing on Spark: https://hortonworks.com/apache/spark/ Check out some nice Spark tutorials we have: https://hortonworks.com/tutorial/hands-on-tour-of-apache-spark-in-5-minutes/ https://hortonworks.com/hadoop-tutorial/interacting-with-data-on-hdp-using-scala-and-apache-spark/ ... View more

check out this tutorial: https://hortonworks.com/tutorial/how-to-process-data-with-apache-hive/ ... View more

@Luca Molinari I ran: #sudo rpm -Uvh http://dev.mysql.com/get/mysql-community-release-el7-5.noarch.rpm and it passed... ... View more