Data Access

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Hadoop is not perfect: 8 great alternatives to HDFS

& Http://www.aliyun.com/zixun/aggregation/37954.html "> HFS (Hadoop Distributed File System) is a core sub-project of the Hadoop project, is the basis for data storage management in distributed computing, to be honest HDFS Is a good distributed file system, it has many advantages, but there are also some shortcomings, including: not suitable for low-latency data ...

The selection of flash and hard disk under large data storage

With the industrial revolution, the rapid development of science and technology, people choose the storage medium has also undergone a great change, hard disk began to become People's daily work in the necessary products, and in the data storage plays an important role. But in recent years, because of the popularity of social networking sites and intelligent mobile terminals, the amount of data created by people is staggering, according to statistics in 2013, the total amount of data produced in China has exceeded 0.8ZB (equivalent to 800 million TB), under the pressure of massive data, how will the data storage media change? Enterprises face massive data how to upgrade the traditional data center ...

20 of 2014's best PHP frameworks

For Web developers, PHP is a very powerful and popular programming language. Many of the world's top websites are based on PHP. In this article, let's review the 20 http://www.aliyun.com/zixun/aggregation/33721.html"> PHP frameworks of the year 2014. Every developer knows that having a strong framework allows developers to work Become faster, safer and more efficient ... Choose a suitable framework before developing your project ...

Research on QoS guarantee mechanism of multilevel metadata in cloud storage

Research on QoS guarantee mechanism of multilevel metadata in cloud storage Zhiyong Lichunlin in the master-slave architecture of the cloud storage system, all data access needs to go through the metadata server, in the event of a surge in access, the metadata server may become a system bottleneck. Most of the current cloud storage systems employ FIFO scheduling strategies, when the service is congested, the service quality cannot be guaranteed, in order to ensure the quality of service, this paper makes the QoS distinction by the Congestion Admission control and the queue scheduling technology, which is based on the priority, restricts the access request of the low priority to enter the service queue, and avoids ...

Hortonworks Adds Enterprise Features to Hadoop Distributions

At the recently concluded Hadoop Europe Summit, Hortonworks announced version 2.1 of the Hortonworks Data Platform (HDP). The new version of the Hadoop distribution includes new enterprise features such as data governance, security, streaming and search, and takes the Stinger Initiative tool for interactive SQL queries to a whole new level. Jim Walker, director of product marketing at Hortonworks, said: "In order for Had ...

Five issues to consider in implementing cloud storage

More and more IT infrastructures are starting to choose cloud storage. However, because cloud storage is relatively new, the IT managers responsible for storage in most enterprises do not know what questions to ask potential service providers to determine the impact of cloud storage on the enterprise IT environment. The storage Manager should ask the following five questions when considering applying cloud storage: 1. Can applications or end users tolerate low storage performance? Because the cloud stores its own architecture, you can expect a high latency in the case of access requirements for files or directories. So if your next project is to deploy the SQL database service for a huge site ...

Thinkphp 3.1 QuickStart: coherent operation

We have described in detail the usage of query language, but query language only solves the problem of query or operation condition, more cooperation also need to use the consistent operation method provided by model. The introduction of a coherent operation can effectively improve the code definition and development efficiency of data access, and support all curd operations, but also a highlight of Thinkphp's ORM. The use is also relatively simple, if we now want to query a user table to meet the status of 1 of the first 10 records, and want to be sorted by the time of creation of users, the code is as follows: $User-...

Plasma-wateriv 0.3.2 release plasma data Engine

Plasma-wateriv is a plasma data engine for the plasma mission of the KDE desktop, which provides a small tool for accessing the most recent real-time water data, provided by the U.S. Geological Survey using public http://www.aliyun.com/zixun/ aggregation/13729.html ">web service. Plasma-wateriv version 0.3.2 makes some bug fixes that cause Plasmoids desktop crashes. Other improvements ...

Apache Mesos underlying base library

1. Kyoto Buffer protocal Buffer is a library of Google Open source for data interchange, often used for cross-language data access, and the role is generally serialized/deserialized for objects. Another similar open source software is Facebook open source Thrift, their two biggest difference is that thrift provides the function of automatically generating RPC and protocal buffer needs to implement itself, but protocal buffer one advantage is its preface ...

Plasma-wateriv 0.3.0 release plasma data Engine

Plasma-wateriv is a plasma data engine for the plasma mission of the KDE desktop, which provides a small tool for accessing the most recent real-time water data, provided by the U.S. Geological Survey using public http://www.aliyun.com/zixun/ aggregation/13729.html ">web service. Plasma-wateriv 0.3.0 This version adds to the web search function of the plasma Corps, and introduces the site data to provide plasm ...

Analysis of big Table architecture of distributed mass Data system

Large table architecture analysis of distributed mass Data System Zhu Xiaojie Panvimin in the era of information explosion, the solution of the PT-Class mass data access Management Service problem, Google designed a distributed mass data storage System Big table, based on Google's several basic architecture: Google's Distributed File system (GFS) storage logs, files, and data files, highly available, serialized distributed lock service components chubby. This article from the architectural components, algorithms and performance, etc.

Long Range ZIP 0.608 Release Compression program

Long Range ZIP 0.608 This version is faster in the rzip phase by using the Select Data Access feature. The Finish bash script is no longer the default installation and therefore does not implement package conflicts with the allocated bash. More non-Linux platforms for compilation of fixes. Lrzip (Long Range ZIP) is a compression program that can be used when a very high compression rate and a large file speed are achieved. It uses ZPAQ and maximum compression, maximum speed of zpaq and LZMA algorithm to compress algorithms, and long range R ...

Red Hat Storage 2.0 ready to enter the big data market

The industry has divergent views on the concept of large data. One of the most notable is the definition of the authoritative research institute Gartner: Large data is the ability to gather, manage, and process data for its users over an acceptable period of time, beyond the common hardware environment and software tools. Large data is not a simple data capacity, data speed, complexity and diversity are the key characteristics of large data. Big data often comes from new data sources, where unstructured data is the absolute mainstay. Unstructured data refers to those data that are not convenient to use in two-dimensional logical tables of the database, including all forms of office ...

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