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IBM pureapplication System A boxed cloud computing systems

IBM pureapplication System (W1500 and W1700 v1.0 and v1.1) is a boxed cloud computing system with hardware and software to deploy and execute workloads in the cloud, with all the functionality required to add a private cloud environment to an enterprise data center. This article outlines the hardware contained in Pureapplication system and uses the system console to view individual components. This article is part 1th of a series of three articles that will introduce ...

Cloud storage Services Market chaos

Today, there are countless cloud storage service providers in the marketplace, and these service providers want users to be able to register their services. In order to attract more users, these vendors will use the free cloud storage strategy for marketing.   What are some of the things that are trustworthy in the cloud services market, which is specifically targeted at the enterprise level? The following is the current international market more mature several cloud storage services. In theory, users get a lot of free storage space, but not all services are. Some of the relevant restrictions will make you very embarrassed, such as large file upload, ...

1/10 Compute Resources, 1/3 time consuming, spark subversion mapreduce keep sort records

In the past few years, the use of Apache Spark has increased at an alarming rate, usually as a successor to the MapReduce, which can support thousands of-node-scale cluster deployments. In the memory data processing, the Apache spark is more efficient than the mapreduce has been widely recognized, but when the amount of data is far beyond memory capacity, we also hear some organizations in the spark use of trouble. Therefore, with the spark community, we put a lot of energy to do spark stability, scalability, performance, etc...

"Book pick" large data development of the first knowledge of Hadoop

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 ...

Comparison of paid storage space schemes for each cloud synchronous service

This morning Google officially launched http://www.aliyun.com/zixun/aggregation/13938.html ">google Drive Cloud file Sync service, plus yesterday Microsoft SkyDrive and the original Dropbox and SugarSync, cloud Synchronization Service is about to enter the Warring States era! From the existing situation, Google Drive and SkyDrive is the main office software should ...

Optimized Hadoop distributions make hybrid architectures the past

Data is the most important asset of an enterprise. The mining of data value has always been the source of innovation of enterprise application, technology, architecture and service. After ten years of technical development, the core data processing of the enterprise is divided into two modules: the relational database (RDBMS), mainly used to solve the transaction transaction problem; Based on analytical Data Warehouse, mainly solves the problem of data integration analysis, and when it is necessary to analyze several TB or more than 10 TB data, Most enterprises use MPP database architecture. This is appropriate in the traditional field of application. But in recent years, with the internet ...

The difference between "big data" and "mass data"

Big data hit many years ago, the industry was discussing a topic: How to deal with massive data? In particular, some need to store a large number of user data industry, finance, telecommunications, insurance and other popular industries. Users almost every hour of the day, are likely to produce a large number of data, these industries storage equipment, must be the data generated during the period of meticulous record, in order to prevent loss, but also must do backup, but also have to do off-site disaster recovery backup, which is not finished, business interruption events can not exceed the number of time range, Otherwise it is a major accident, so must be through the IT system assurance industry ...

Example of log analysis and website operation Improvement

Hello, I'm brother Tao. The event has many webmaster from the strategic level to share the idea of the site operation, just found a lot of friends once said the idea is difficult to explain the example, so I took a last year's example, to share with you how we find the problem from the log analysis, solve the problem to the final summary of lessons and optimize the operation of the site process,   At the same time I will detail the details of the way to popularize the log analysis, I hope to help friends. Website operation has a link important, that is data monitoring and data analysis, otherwise the problem does not know ...

Optimized Hadoop distributions make hybrid architectures the past

Data is the most important asset of an enterprise. The mining of data value has always been the source of innovation of enterprise application, technology, architecture and service. After ten years of technical development, the core data processing of the enterprise is divided into two modules: the relational database (RDBMS), mainly used to solve the transaction transaction problem; Based on analytical Data Warehouse, mainly solves the problem of data integration analysis, and when it is necessary to analyze several TB or more than 10 TB data, Most enterprises use MPP database architecture. This is appropriate in the traditional field of application. But in recent years, with ...

Big Data Age: Are we ready?

Cai Grace after investing in Sina Weibo, the acquisition of friends, increase the number of UC and ding Ding Net, Alibaba Group and 294 million U.S. dollars to buy the High German software 28% shares, become the first major shareholder of the software. The two sides agreed to build a large data service system to facilitate data sharing.   He can use Alibaba's electric business platform on the merchant's trading information, logistics information and geographical information, from the simple map to the diversification of life dealers, and Alibaba can share the geographical location, traffic information data, interest point information and user data, expand customers. This is...

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