This paper is an excerpt from the book "The Authoritative Guide to Hadoop", published by Tsinghua University Press, which is the author of Tom White, the School of Data Science and engineering, East China Normal University. This book begins with the origins of Hadoop, and integrates theory and practice to introduce Hadoop as an ideal tool for high-performance processing of massive datasets. The book consists of 16 chapters, 3 appendices, covering topics including: Haddoop;mapreduce;hadoop Distributed file system; Hadoop I/O, MapReduce application Open ...
In the past few years, the innovative development of the open source world has elevated the productivity of Java™ developers to one level. Free tools, frameworks and solutions make up for once-scarce vacancies. The Apache CouchDB, which some people think is a WEB 2.0 database, is very promising. It's not difficult to master CouchDB, it's as simple as using a Web browser. This issue of Java open ...
While the term cloud computing is not new (Amazon started providing its cloud services in 2006), it has been a real buzzword since 2008, when cloud services from Google and Amazon gained public attention. Google's app engine enables users to build and host Web applications on Google's infrastructure. Together with S3,amazonweb services also includes elastic Cloud Compute (EC2) calculation ...
There is a concept of an abstract file system in Hadoop that has several different subclass implementations, one of which is the HDFS represented by the Distributedfilesystem class. In the 1.x version of Hadoop, HDFS has a namenode single point of failure, and it is designed for streaming data access to large files and is not suitable for random reads and writes to a large number of small files. This article will explore the use of other storage systems, such as OpenStack Swift object storage, as Ha ...
There is a concept of an abstract file system in Hadoop that has several different subclass implementations, one of which is the HDFS represented by the Distributedfilesystem class. In the 1.x version of Hadoop, HDFS has a namenode single point of failure, and it is designed for streaming data access to large files and is not suitable for random reads and writes to a large number of small files. This article explores the use of other storage systems, such as OpenStack Swift object storage, as ...
This article is the 3rd and final part of a series of articles on building mixed cloud applications, examining governance and security for cloud computing. This article expands the Hybridcloud application for part 2nd by examining how to add access control policies to the Amazon simple Queue Service (SQS). Learn more about how Hybridcloud applications authenticate themselves to cloud services ...
Companies such as IBM®, Google, VMWare and Amazon have started offering cloud computing products and strategies. This article explains how to build a MapReduce framework using Apache Hadoop to build a Hadoop cluster and how to create a sample MapReduce application that runs on Hadoop. Also discusses how to set time/disk-consuming ...
Overview Hadoop on Demand (HOD) is a system that can supply and manage independent Hadoop map/reduce and Hadoop Distributed File System (HDFS) instances on a shared cluster. It makes it easy for administrators and users to quickly build and use Hadoop. Hod is also useful for Hadoop developers and testers who can share a physical cluster through hod to test their different versions of Hadoop. Hod relies on resource Manager (RM) to assign nodes ...
This article is the sixth article in the introductory teaching of Windows Azure AppFabric. This article will introduce a very useful feature-messagebuffer in service bus. This feature is similar to the queue Storage, as a small, temporary information buffer that can be applied to a variety of scenarios. In this case, we'll simply simulate the order system: order, view orders, and process orders. Preconditions to enable subsequent tutorials to proceed smoothly, make sure that the following software or components have been ...
Developing spark applications with Scala language [goto: Dong's blog http://www.dongxicheng.org] Spark kernel is developed by Scala, so it is natural to develop spark applications using Scala. If you are unfamiliar with the Scala language, you can read Web tutorials a Scala Tutorial for Java programmers or related Scala books to learn. This article will introduce ...
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