hadoop

Installing Apache Zeppelin* on Cloudera Distribution of Hadoop*

Apache Zeppelin* is a new web-based notebook that enables data-driven, interactive data analytics, and visualization with the added bonus of supporting multiple languages, including Python*, Scala*, Spark SQL, Hive*, Shell, and Markdown. Zeppelin also provides Apache Spark* integration by default, making use of Spark’s fast in-memory, distributed, data processing engine to accomplish data science at lightning speed. In this paper we describe how to install and configure Apache Zeppelin on the Cloudera Distribution of Apache Hadoop*, providing access to Hadoop and Spark.
  • 开发人员
  • Linux*
  • Python*
  • hadoop
  • Zeppelin
  • 大数据
  • Intel® Xeon® Processor E5-2600 v3 Accelerates Hadoop HDFS Encryption

    The latest Intel® Xeon® processor with embedded Intel® Advanced Encryption Standard New Instructions (Intel® AES-NI) and the latest Cloudera distribution of Hadoop accelerate Big Data encryption.

    下载 cloudera-aes-ni.pdf

  • 开发人员
  • 服务器
  • Intel® AES-NI
  • cloudera
  • hadoop
  • Advanced Encryption Standard (AES)
  • encryption
  • 大数据
  • 数据中心
  • 大型企业
  • 安全
  • 基于英特尔® 至强™ E5-2600 v3 产品系列的 Cloudera Hadoop* 单节点加密性能案例研究

    Cloudera Logo Blue

    Cloudera 软件,尤其是 Hadoop* 分发版,Navigator Encrypt*,可提供透明数据加密和关键管理功能,以确保敏感型静态数据安全无虞。 许多全球大型金融机构、医疗机构和零售商均部署了 Cloudera 解决方案,以保护个人身份信息、企业 IP 或其他敏感型数据,从而遵守联邦、行业或内部规范。

  • 开发人员
  • Linux*
  • 服务器
  • Secure Key
  • Intel Data Protection
  • rdrand
  • cloudera
  • hadoop
  • Navigator Encrypt
  • Intel® Xeon® E5-2600 v3
  • 大数据
  • How Intel® QuickAssist Technology Accelerates Deep Packet Inspections and other Network Function Use Cases

    Intel® QuickAssist Technology Introduction

    Intel® QuickAssist Technology accelerates and compresses cryptographic workloads by offloading the data to hardware capable of optimizing those functions.  This makes it easier for developers to integrate built-in cryptographic accelerators into network and security applications.

    Intel and Qihoo 360 Internet Portal Datacenter - Big Data Storage Optimization Case Study

    The adoption of cloud computing creates many challenges and opportunities in big data management and storage. To resolve this, many independent software vendors and system integrators are working closely with worldwide IT solution vendors to use the latest technology and make improvements in big data storage. This paper discusses one such collaboration between Qihoo 360 Technology Co. Ltd.* and Intel to optimize the storage infrastructure in their Internet Portal Datacenter (IPDC).

  • Linux*
  • 服务器
  • 英特尔® Intelligent Storage Acceleration Library (ISA-L)
  • ISA-L
  • Big Data
  • hadoop
  • Intel® Intelligent Storage Acceleration Library
  • 大数据
  • 存储
  • ubuntu 中安装 hadoop 记录

    Hadoop 版本:hadoop-1.2.1-bin.tar

    Jdk 版本:jdk-6u30-linux-i586

    需要的软件:VMWare 9ubuntu10.04

     

     

    首先安装vmware9,然后在其中利用ubuntu的镜像安装3个虚拟机,具体方法可以搜到

    在每个虚拟机中,执行以下操作:

     

    (1)创建hadoop用户组:sudo addgroup hadoop

     

    (2)创建hadoo用户:sudo adduser -ingroup hadoop hadoop

    订阅 hadoop