数据库分析代写_sql代写_webgl代写

Assessment Item 2: Research and Data Modelling数据库分析代写


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数据库分析代写 Recently, the database world has evolved from relational database models to non-relational database technology. The..



Table of Contents



  1. Part A: Database Research Discussion Forum

  2. Part B: Data Modelling

  3. References


 

Research and Data Modelling数据库分析代写



  1. Part A: Database Research Discussion Forum


Topic: The future of Database Technologies

Recently, the database world has evolved from relational database models to non-relational database technology. The world of data science expects the existing cloud database platforms to handle huge workloads and also be able to provide more capabilities that non-relational database technologies have enabled.

A good database should be able to support multiple  data models, support visualization of data, have distributed storage, be able to support representation of data in pictorial form like graphs as well as spatial. Relational databases are the commonly known type of databases that really heavily on tables, columns and also schemas to store and also retrieve data (Nayak, Poriya & Poojary, 2013).

NoSQL Database


It is a non-relational database architecture and one of the modern database technology. It expresses data in table format which are closely similar to excel tables. NoSQL focuses on creating a good picture that database design is composed of an array of data models.

NoSQL does not follow the tradition rules of representing data in two-dimensional structures that have rows and columns (Padhy, Patra & Satapathy, 2011). In NoSQL, data is distributed over several servers which ensures that each server contains a subset of the total data.

NoSQL has four categories that include:数据库分析代写



  1. Key-value data stores which uses any type binary object when storing data.

  2. Document stores that uses a single document that contains the data which is usually related to a specific key.

  3. Wide column stores that uses rows and columns where names and format vary.

  4. Graph stores uses graph structures to store data as well as performing queries (Moniruzzaman & Hossain, 2013).


Advantages of NoSQL databases



  1. They has better control which is supported by use of multiple servers

  2. The operations in NoSQL are faster as compared to relational databases.

  3. The licences for NoSQL are open source and therefore, the cost involved is low compared to that of relational databases (Chauhan & Bansal, 2017).

  4. They can store new type of data which include both the structured and semi-structured data.


In conclusion, NoSQL databases will help in solving high number of transactions that depends on cost of the joins and the data integrity.

Part B: Data Modelling

Identifies entities:数据库分析代写



  1. Team

  2. Game

  3. City

  4. Players

  5. Coach


Relations between entities



  1. Team and Game (1:M)

  2. City and Team (1:1)

  3. Team and Players (1:M)

  4. Team and Coach (1:M)


 

Cardinality between Teams and Players








  1. Each team has a minimum of 9 players and a maximum of 12 players.  The cardinality is (9, 12) while each player can only be in one team and therefore, cardinality is (1:1).


Cardinality between Teams and City

  1. Each city has one team and therefore, cardinality is :


City – team (1:1)

Team – city (1:1)

数据库分析代写

 

 

References

Nayak, A., Poriya, A., & Poojary, D. (2013). Type of NOSQL databases and its comparison with relational databases. International Journal of Applied Information Systems5(4), 16-19.

Padhy, R. P., Patra, M. R., & Satapathy, S. C. (2011). RDBMS to NoSQL: reviewing some next-generation non-relational database’s. International Journal of Advanced Engineering Science and Technologies11(1), 15-30.

Moniruzzaman, A. B. M., & Hossain, S. A. (2013). Nosql database: New era of databases for big data analytics-classification, characteristics and comparison. arXiv preprint arXiv:1307.0191.

Chauhan, D., & Bansal, K. L. (2017). Using the advantages of NOSQL: a case study on MongoDB. International Journal on Recent and Innovation Trends in Computing and Communication5(2), 90-93.

 

数据库分析代写




评估项目2:研究和数据建模
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目录
A部分:数据库研究论坛3
B部分:数据建模5
参考文献7

研究与数据建模
A部分:数据库研究讨论论坛
主题:数据库技术的未来
最近,数据库世界已经从关系数据库模型演变为非关系数据库技术。数据科学界希望现有的云数据库平台能够处理巨大的工作负载,并且还能够提供非关系数据库技术已启用的更多功能。一个好的数据库应该能够支持多个数据模型,支持数据的可视化,具有分布式存储,能够支持图形形式的数据表示,例如图形和空间。关系数据库是众所周知的数据库类型,它实际上大量使用表,列以及用于存储和检索数据的模式(Nayak,Poriya和Poojary,2013年)。
NoSQL数据库
它是非关系数据库体系结构和现代数据库技术之一。它以表格格式表示数据,该格式与excel表格非常相似。 NoSQL专注于创建一个良好的画面,即数据库设计由一系列数据模型组成。 NoSQL不遵循以具有行和列的二维结构表示数据的传统规则(Padhy,Patra和Satapathy,2011年)。在NoSQL中,数据分布在几台服务器上,以确保每台服务器包含总数据的子集。
NoSQL有四个类别,包括:
a)键值数据存储在存储数据时使用任何类型的二进制对象。
b)使用单个文档的文档存储,该文档包含通常与特定键有关的数据。
c)宽列存储使用名称和格式不同的行和列。
d)图形存储使用图形结构存储数据以及执行查询(Moniruzzaman&Hossain,2013)。
NoSQL数据库的优势
a)他们具有更好的控制,这可以通过使用多台服务器来支持
b)与关系数据库相比,NoSQL中的操作更快。
c)NoSQL的许可证是开源的,因此与关系数据库相比,所涉及的成本较低(Chauhan&Bansal,2017)。
d)他们可以存储包括结构化和半结构化数据在内的新型数据。
总之,NoSQL数据库将帮助解决大量事务,具体取决于联接的成本和数据完整性。

B部分:数据建模
标识实体:
团队
游戏
城市
球员
教练
实体之间的关系
团队与游戏(1:M)
城市与团队(1:1)
团队和球员(1:M)
团队和教练(1:M)

团队与球员之间的基数
每支球队至少有9名球员,最多12名球员。基数为(9,12),而每个玩家只能在一个团队中,因此基数为(1:1)。
球队与城市之间的基数
每个城市都有一个团队,因此基数为:
城市–球队(1:1)
团队–城市(1:1)

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