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"Guide" the author (Xu Peng) to see Spark source of time is not long, note the original intention is just to not forget later. In the process of reading the source code is a very simple mode of thinking, is to strive to find a major thread through the overall situation. In my opinion, the clue in Spark is that if the data is processed in a distributed computing environment, it is efficient and reliable. After a certain understanding of the internal implementation of spark, of course, I hope to apply it to practical engineering practice, this time will face many new challenges, such as the selection of which as a data warehouse, HB ...
Speaking of architecture, divided into two pieces, one is the software level of the Code architecture, and the other is a hardware-level system architecture. Software level, module division, Code reconfiguration and business layer architecture. System level, to network, deployment, server cluster-oriented. The architecture of software hierarchy lies in the development of early code. Hardware-level system architecture, in the late deployment of the server online. Today's content is primarily biased towards the system architecture in the gaming domain. Talk about system architecture, no outside of those technologies, what load balance ah, what database vertical, horizontal partition Ah, front-end/back-end cache ...
Game Architecture Analysis-game Cloud series five talk about architecture, divided into two, one is the software level of the Code architecture, and the other is the hardware level of the system architecture. Software level, module division, Code reconfiguration and business layer architecture. System level, to network, deployment, server cluster-oriented. The architecture of software hierarchy lies in the development of early code. Hardware-level system architecture, in the late deployment of the server online. Today's content is primarily biased towards the system architecture in the gaming domain. Talk about system architecture, no outside of those technologies, what load balance ah, what database ...
"IT168" I have always felt that nosql in fact very easy to understand, I have also had a very in-depth study of NoSQL, but in the recent preparation of yuntable chart, found that NoSQL not only very profound, And my personal understanding of NoSQL is only superficial, but I am still a "shame and then Yong" people, so after a period of study, from the sixth part of this series, will talk to you nosql, and this article will be the main to do a NoSQL database review. ...
OpenStack Object Storage (Swift) is one of the subprojects of the OpenStack Open source Cloud project, known as Object storage, which provides powerful extensibility, redundancy, and durability. This article will describe swift in terms of architecture, principles, and practices. Swift is not a file system or a real-time data storage system, which is called object storage and is used for long-term storage of permanent types of static data that can be retrieved, adjusted, and updated as necessary. Examples of data types that are best suited for storage are virtual machine mirroring, picture saving ...
Big data technology is indeed a very attractive business for businesses, and Hadoop is a massive scalable data storage platform that forms the basis of most big data projects. The advent of Apache Hadoop makes this temptation more attractive. Hadoop is powerful, but not touching, requiring companies to invest a lot of learning and other resources. Hadoop does radically improve your company's business if it is properly implemented, but the road to this Hadoop application is full of thorns. on the other hand...
It's really tempting to get business on big Data technology, and Apache Hadoop makes the temptation more violent. Hadoop is a large scale scalable data storage platform that forms the foundation of most large data projects. Hadoop is powerful, but it requires the company to invest a lot of learning energy and other resources. If you get the right application, Hadoop can actually improve your company's business, but the application of this hadoop is fraught with thorns. On the other side, many businesses (not Google, of course) ...
1. Languages used in COUCHDB: Erlang features: DB consistency, easy to use license: Apache protocol: http/rest bidirectional data replication, continuous or temporary processing, processing with conflict checking, therefore, The use of Master-master replication (see note 2) mvcc– write without blocking read operation Pre-save version crash-only (reliable) design requires data compression view: Embedded mapping/Reduce formatted view: List display support for server ...
It's really tempting to get business on big Data technology, and Apache Hadoop makes the temptation more violent. Hadoop is a large scale scalable data storage platform that forms the foundation of most large data projects. Hadoop is powerful, but it requires the company to invest a lot of learning energy and other resources. If you get the right application, Hadoop can actually improve your company's business, but the application of this hadoop is fraught with thorns. On the other side, many businesses (not Google, of course) ...
The internet has never been a peace, whether in the era of cloud computing or large data era, the Internet world is always undulating, before the advent of cloud computing, Oracle, MSSQL, MySQL, Postgres and other relational databases entrenched data kingdom most of the country, few can shake its position. But now the information is flying in the era changed this situation, with the rapid increase in data traffic ...
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