TA (Tencent Analytics), a free website analysis system for third-party webmasters, is highly praised by webmasters for data stability and timeliness, and its second-level real-time data update frequency is also recognized by the industry. This article will take you in-depth exploration of TA system architecture and implementation principles from many aspects of real-time data processing, data storage and so on. Web Analytics (Web Analytics) mainly refers to the site-based ...
With the rise of internet web2.0 websites, the relational database has become a very hot new field, the development of the non relational database products is very rapid. But the traditional relational database in dealing with web2.0 website, especially the super large-scale and high concurrent SNS type web2.0 pure dynamic website already appeared to be powerless, has exposed many insurmountable problems, for example: 1, high configured--to the database higher concurrent reads and writes the demand WEB2.0 website to be based on user personalized information to generate real-time dynamic ...
As a software developer or DBA, one of the essential tasks is to deal with databases, such as MS SQL Server, MySQL, Oracle, PostgreSQL, MongoDB, and so on. As we all know, MySQL is currently the most widely used and the best free open source database, in addition, there are some you do not know or useless but excellent open source database, such as PostgreSQL, MongoDB, HBase, Cassandra, Couchba ...
The scalability of the system is the main reason for promoting the development of NoSQL movement, including distributed system coordination, failover, resource management and many other features. That makes NoSQL sound like a big basket that can be stuffed with anything. Although the NoSQL movement does not bring fundamental technological changes to distributed data processing, it still leads to extensive research and practice on protocols and algorithms. It is through these attempts to gradually summarize some effective database construction methods. In this article, I will focus on the NoSQL database distributed special ...
The scalability of the system is the main reason for promoting the development of NoSQL movement, including distributed system coordination, failover, resource management and many other features. That makes NoSQL sound like a big basket that can be stuffed with anything. Although the NoSQL movement does not bring fundamental technological changes to distributed data processing, it still leads to extensive research and practice on protocols and algorithms. It is through these attempts to gradually summarize some effective database construction methods. In this article, I will focus on the distributed features of the NoSQL database ...
Recently read some articles about the development of database technology, basically revolve around the discussion of SQL and NoSQL to unfold. Remember when the NoSQL movement just started, "Dour No to SQL" slogan, of course, the slogan did not become a reality, people eventually accepted the not-only of SQL. But really to give NoSQL the next definition, it is not easy, people used to MongoDB, Redis such products as a general definition of NoSQL, can be attributed to the "four major categories." But ...
(Author Srini penchikala translator Dingxuefeng) for non-relational data types such as documents, object graphs, and key-value pairs, the NoSQL database provides them with an alternative way to store data. Can distributed caching be used as a NoSQL database? Ehcache's Greg Luck author describes the similarity between distributed caching and NoSQL databases. Infoq interviewed him and discussed the pros and cons of the scheme. InfoQ: Can you do a distributed caching solution with the NoSQL database ...
After Facebook abandoned Cassandra, HBase 0.89 was given a lot of stability optimizations to make it truly an industrial-grade, structured data storage retrieval system. Facebook's Puma, Titan, ODS time Series monitoring system uses hbase as a back-end data storage System. HBase is also used in some projects of domestic companies. HBase subordinate to the Hadoop ecosystem, from the beginning of the design of the system is very focused on the expansion of the dynamic expansion of the cluster, load are ...
Http://www.aliyun.com/zixun/aggregation/13461.html ">mongodb also has many areas to improve, such as global write locks (now just a database-level write lock). This article focuses on how to scale to cope with large data, where the volume of large data is 100GB. It will be more meaningful when you look at the implementation of the underlying storage. Basically, MongoDB consists of a bunch of Bson document MMAP (Memory-mapped) lists, which ...
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