Common Uses Of Databases

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Five graphics databases to focus on

Graphic database is a kind of non relational database, it applies graph theory to store the relation information between entities. The most common example is the http://www.aliyun.com/zixun/aggregation/7518.html "> Relationship between people" in social networks. Relational databases are not good for storing "relational" data, their queries are complex, slow, and beyond expectations, and the unique design of a graphics database compensates for this flaw. Google's graphics computing system named PR ...

Nifty uses 4 Web servers to support 54 million user sites

Nifty has been operating the site for a long time, and after the launch of the WYSIWYG web platform based on HTML5, users have built more than 54 million sites in the company, and most of them have less than 100 solar PV. Since the PV of each page is low, the traditional caching strategy does not apply. Even so, however, the company has done so with only 4 Web servers. Recently, Wix chief back-end engineer Aviran Mordo in "Wix architecture ...

Full Scale 180 uses Windows Azure to process database scaling

Today's post, written by Fullscale 180 first Trent Swanson, describes how the company uses Windows http://www.aliyun.com/zixun/aggregation/13357.html "> Azure and database partitions to build scalable solutions for their customers. Full Scale 180 is Redmond, a Washington specialising in cloud computing solutions, offering consulting from a professional architecture ...

"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 ...

Summary of NoSQL 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. ...

Big Data Hot Word report

It can be said that big data is one of the hottest trends in the IT industry today, and it has spawned a new batch of technologies to deal with big data. And new technologies have brought the latest buzz words: acronyms, professional terms, and product names. Even the phrase "big data" itself makes a person dizzy. When many people hear "big data", they think it means "a lot of data", and the meaning of large data does not only involve the amount of data. Here are a few popular words that we think you should be familiar with, sorted alphabetically. ACID ...

Review and prospect of large-size Hadoop data application in eight major industries

The development of any new technology will undergo a process from the public to the final universal application. Large data technology as a new data processing technology, after nearly a decade of development, has just begun to be applied in various industries. But from the media and public view, the big data technology always has the mysterious color, appears to have the magical power which digs the wealth and forecasts the future. Widely circulated large data applications include the target supermarket based on the girl's shopping history to determine whether pregnancy, credit card companies based on the user in different time and space shopping behavior to predict the customer's next purchase behavior, and so on. Large Data Technology ...

12 free and open source NoSQL database Introduction

Naresh Kumar, a software engineer and enthusiastic blogger, has great interest in programming and new things, and is happy to share technical research results with other developers and programmers.   Recently, Naresh wrote about 12 well-known free, open source NoSQL databases, and analyzed the characteristics of these databases. Now that the NoSQL database is becoming more and more popular, I'm here to summarize some of the great, free and open source NoSQL databases. In these databases, MongoDB the top, with considerable ...

Wang Tao: How traditional IT people use database thinking to understand blockchain

The concept of blockchain to technology has been around for a long time, but with the heat of the past two years, it has gradually become known by the market and many technicians.

characteristics, functions and processing techniques of large data

To understand the concept of large data, first from the "Big", "big" refers to the scale of data, large data generally refers to the size of the 10TB (1TB=1024GB) data volume above. Large data is different from the massive data in the past, and its basic characteristics can be summed up with 4 V (Vol-ume, produced, and #118alue和Veloc-ity), that is, large volume, diversity, low value density and fast speed. Large data features first, the volume of data is huge. Jump from TB level to PB level. Second, the data types are numerous, as mentioned above ...

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