订阅内容

RHS_LiberateTheme_SocialMedia_Dolphin_Facebook_1200x628_INC0201362_1114sw

We are pleased to announce the availability of the Hortonworks Data Platform (HDP) 2.1 on Red Hat Storage 3.0.2. This joint solution between Red Hat and Hortonworks allows you to bring the full analytical power of the Hadoop Ecosystem to the data within your Red Hat Storage cluster.

Red Hat Storage (RHS) is a great choice for a central storage repository. The fact that it is a software-defined, scale out architecture and runs on commodity hardware helps reduce your total cost of ownership, but it also simplifies managing storage capacity and allows you to grow your cluster at your own pace. For these reasons we think that eventually you'll end up with a significant amount of data within your RHS cluster and you'll likely want to begin analyzing it.

It is common for RHS users to start with Python and R analysis on your RHS data because they perform well and work intuitively with a distributed filesystem that is POSIX compliant and written in C. However, it is also common to want to explore using Hadoop because of the analytical power it brings with parallel processing, its ability to simplify ETL and the opportunity it offers to be used as a lower cost data warehouse. Rather than procuring new software and hardware infrastructure for an additional Hadoop cluster, one can actually use Hadoop directly on the data within the RHS cluster by installing the Hortonworks Hadoop Distribution directly on the RHS cluster. This solution configures RHS as the storage tier for Hadoop in lieu of HDFS. The solution works in a similar manner to how HDP would normally work with HDFS due to the fact that the HDP components are collocated on the same servers as the RHS components. This allows Hadoop to maintain data locality when scheduling analytical workloads.

Given that we initially shipped HDP 2.0.6 support with the GA release of RHS 3.0 in September, HDP 2.1 support marks the 2nd release of our joint solution with Hortonworks. In this release we've added support for Tez and HBase, we've augmented the security capabilities by validating the solution with RHEL Identity Management (LDAP and Kerberos integration) and we have also improved the user experience by simplifying the installation and configuration process.

If you're interested in trying this out, simply follow the instructions in Chapter 7 of the RHS Installation Guide.


关于作者

按频道浏览

automation icon

自动化

有关技术、团队和环境 IT 自动化的最新信息

AI icon

人工智能

平台更新使客户可以在任何地方运行人工智能工作负载

open hybrid cloud icon

开放混合云

了解我们如何利用混合云构建更灵活的未来

security icon

安全防护

有关我们如何跨环境和技术减少风险的最新信息

edge icon

边缘计算

简化边缘运维的平台更新

Infrastructure icon

基础架构

全球领先企业 Linux 平台的最新动态

application development icon

应用领域

我们针对最严峻的应用挑战的解决方案

Original series icon

原创节目

关于企业技术领域的创客和领导者们有趣的故事