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Extract, Transform, and Load Big Data with Apache Hadoop*

The challenge of extracting value from big data is similar in many ways to the age-old problem of distilling business intelligence from transactional data. Apache Hadoop* has emerged as a de facto standard for offloading the “Extract, Transform & Load,” (ETL) of big data. This whitepaper examines some of the platform hardware and software considerations in using Hadoop for ETL.

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  • Configuration and Deployment Guide for Memcached on Intel® Architecture

    This Configuration and Deployment Guide explores designing and building a Memcached infrastructure that is scalable, reliable, manageable and secure.  The guide uses experience with real-world deployments as well as data from benchmark tests.

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  • Optimizing Web Infrastructure on Intel® Architecture

    This paper focuses on optimizing the design and deployment of Web-tier services using Intel® based servers, communications, and storage solutions to achieve the best balance of high-performance, low power consumption, high-availability, affordability and low Total Cost of Ownership (TCO).

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  • Extract Business Value from Big Data

    Traditional Business Intelligence (BI) infrastructure cannot handle today’s massive, diverse, and fast-moving data streams. In this brief, learn how Apache Hadoop* running on Intel® Architecture provides a foundation you can implement today for targeted value, and then expand almost without limit to meet growing needs.

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  • Turn Big Data into Big Value

    This paper describes three usage models that can help you implement a flexible and efficient big data infrastructure to realize competitive advantages in your own business. It also describes Intel innovations in silicon, systems, and software that can help you to deploy these and other big data solutions with optimal performance, cost, and energy efficiency.

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  • Hadoop 0.22.0 及其 RAID 部署

            使用0.20.X系列版本的Hadoop快有一年时间了,主要集中在HDFS上。期间自己参与了部署Hadoop集群(1 Server + 20 PC),也参与了分析HDFS的源码。

            这几天,由于项目需要,转移到了0.22.0版本了,需要重新部署Hadoop集群。这次部署要牵扯到mapreduce项目下contribute中的raid。目的是:部署0.22.0版本Hadoop的集群,配置并试用其raid的功能。由于之前对0.22.0版本不熟悉,所以在部署集群前,准备先在Ubuntu上部署伪分布式的,熟悉相关文件的位置和使用。

            0.22.0版本伪分布式的部署和其他版本的没有什么本质的不同,主要是有一些细节需要处理,并需要熟悉整个项目相关文件的组织结构。下面主要记录一下在伪分布式安装和编译Raid时的一些问题和解决方法。

            1. 从hadoop-0.22.0.tar.gz解压后的目录可知,该版本相比于0.20.X系列目录结构有较大变化。这给一直使用0.20.X版本系列的人带来了一点儿麻烦,需要大致翻看一下各个目录都有什么。

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  • Meshcentral.com - News update

    Hi everyone. First, for people in the US, happy long weekend! I just wanted to give an update on what is going on with Meshcentral.com. Here is a lot of interest in the technology and so, I have been busy fixing and improving all sorts of things, most of the focus is on the server side and underlying peer-to-peer routing. But I got two fun things to report:

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