The Hortonworks Community Connection is now live. A completely rebuilt Q&A forum, Knowledge Base, Code Hub and more, backed by the experts in the industry.

You will be redirected here in 10 seconds. If your are not redirected, click here to visit the new site.

The legacy Hortonworks Forum is now closed. You can view a read-only version of the former site by clicking here. The site will be taken offline on January 31,2016

HDP on Windows – Other Forum

Hadoop and high latency data access

  • #53807

    I’am using Hadoop (HDP2.0) on windows server 2008 R2, I’am able to run Hadoop on a cluster and it works fine .I use Hive for data analytic and then I create cube using SSAS. But, my main goal is to reduce and optimize the time of Cube Processing, actually it takes a long time. I made some researchers about that, I found as an example “Klout” they use hadoop in the same way that I’am doing it and they are talking about seconds with hive process but I really can’t get this results contrariwise i get an amount of time biger than usual. I’m sorry for this question and im sorry for my poor english, but i really need help and I’am seeking for a professionnel’s advice.


The forum ‘HDP on Windows – Other’ is closed to new topics and replies.

Support from the Experts

A HDP Support Subscription connects you experts with deep experience running Apache Hadoop in production, at-scale on the most demanding workloads.

Enterprise Support »

Become HDP Certified

Real world training designed by the core architects of Hadoop. Scenario-based training courses are available in-classroom or online from anywhere in the world

Training »

Hortonworks Data Platform
The Hortonworks Data Platform is a 100% open source distribution of Apache Hadoop that is truly enterprise grade having been built, tested and hardened with enterprise rigor.
Get started with Sandbox
Hortonworks Sandbox is a self-contained virtual machine with Apache Hadoop pre-configured alongside a set of hands-on, step-by-step Hadoop tutorials.
Modern Data Architecture
Tackle the challenges of big data. Hadoop integrates with existing EDW, RDBMS and MPP systems to deliver lower cost, higher capacity infrastructure.