What Value The Traditional Database Projects Helps Run A Better Business?

In order to overcome these limitations, a new database model known as Not Only SQL (NoSQL) database emerged with a set of new features. The main objective of NoSQL is not to discard SQL, but to be used as an alternative database data model for new features [1] [2] [3]. NoSQL database increases the performance of relational databases by a set of new characteristics and advantages. In contrast to relational databases, NoSQL databases introduced an additional feature that provides flexible and horizontal scalability and taking advantage of new clusters. The rise of NoSQL provides cost-effective management of data in modern web applications. With its new features, NoSQL can be used with applications that have a large transaction, and require low-latency access to huge datasets, service availability while

Provide reasoning to support the use of the NoSQL database as the database of choice to solve the problem faced by TWC. Identify one strength and one weakness for each of the other three kinds of databases to solve the problem for TWC.

Abstract – With companies such as Facebook and Google producing large volumes of data, known as Big Data, the popularity of NoSQL databases has risen in the past decade as traditional relational databases cannot handle the vast amount of data as it was not designed to effectively manage such a large data collection. The following research paper gives an introduction to non-relational databases otherwise known as NoSQL. It defines what a NoSQL database is, the origins of its existence and the various types of NoSQL databases. It goes on to discuss the advantages and disadvantages of non-relational databases and the reason companies in the past decade are selecting to implement these databases over traditional relational databases.

Relational databases play a major role in making many apps and programs work. They provide an easy way to store large amounts of data in a consistent, non duplicating, and maintainable way to be used by developers for analytical or software use ("Advantages of a relational database", n.d.). However, more and more applications and companies with a tremendous amount of data such as search engines, social networks, and e-commerce sites have been requiring a level of speed and scalability that relational databases can not provide ("Why NoSQL?", n.d.). NoSQL is a name given to a quickly growing type of database known as non-relational databases, which are being used to store and manage huge amounts of structured, semi-structured, and non-structured data known as "Big Data" ("Why NoSQL?" n.d.). With the advent of social networks and apps with millions of users, the rate of growth of non-structured and semi-structured data is exponential, and the value in being able to quickly traverse it, analyze it, and use it for development is also growing quickly (McGuire, Manyika, & Chui, 2012).

NoSQL is best known for typically being “non-relational”, meaning that it can store and link data without any structured restrictions (Paghy, “RDBMS to NoSQL”). This gives NoSQL databases the ability to do so much more than a simple relational database could. It makes them scalable

Relational databases are the most prevalent in today’s database needs for numerous different applications. These databases go by specific rules and adding in a lot of different attributes involves complexity to the system. Especially in the web applications, it gets harder for the relational databases to handle the capacities and possibilities. The web domain thus, becomes the main motivator for NoSQL.

Some people believe that the answer to challenges posed by big data lie in a relatively new group of non-relational data storage and management products known collectively as NoSQL. However, NoSQL system development is different from traditional data warehouse development in that it is application driven. This has led some pundits to postulate that NoSQL represents a new paradigm in data warehouse design, where highly specialized data silos will replace the traditionally integrated data warehouse. Therefore it is reasonable to ask, should NoSQL be used to build big data warehouses? If yes, then should integration be discarded in favor of autonomous, application driven data silos?

The reality is, the IoT requires characteristics of both relational [6] and NoSQL databases; the flexibility of NoSQL, which allows different types of data to be stored, and the agility to adapt the underlying data models to specific business requirements and applications, and the data integrity aspects of the relational

A lot of speculations have been raised on whether modern NoSQL database is vulnerable to NoSQL attacks or not. The aim of the paper was to research on this issue and after thorough, the paper identified that modern NoSQL database is vulnerable to NoSQL attacks. The problem in the research paper was to identify how modern NoSQL database is vulnerable to NoSQL attacks. Use of JSON to inject NoSQL attacks, lack of admin authorization use of clear text and use of PHP applications to inject NoSQL attacks on the database are some of the reasons that were identified to cause the big problem of NoSQL attacks in the modern NoSQL database. However, solutions to the above problems were identified in the research. Some of these solutions include use of encrypted texts, use admin passwords, input validation and Bind the NoSQL process to only a single interface/IP among others.

NoSQL has no fixed schemas or joins, which are typical of SQL operated databases. It is also important to note that NoSQL is not a replacement for RDMS, but it complements the

Data has always been analyzed within companies and used to help benefit the future of businesses. However, the evolution of how the data stored, combined, analyzed and used to predict the pattern and tendencies of consumers has evolved as technology has seen numerous advancements throughout the past century. In the 1900s databases began as “computer hard disks” and in 1965, after many other discoveries including voice recognition, “the US Government plans the world’s first data center to store 742 million tax returns and 175 million sets of fingerprints on magnetic tape.” The evolution of data and how it evolved into forming large databases continues in 1991 when the internet began to pop up and “digital storage became more cost effective than paper. And with the constant increase of the data supplied digitally, Hadoop was created in 2005 and from that point forward there was “14.7 Exabytes of new information are produced this year" and this number is rapidly increasing with a lot of mobile devices the people in our society have today (Marr). The evolution of the internet and then the expansion of the number of mobile devices society has access to today led data to evolve and companies now need large central Database management systems in order to run an efficient and a successful business.

SQL has dominated databases for a considerable length of time. The shared database show began to ascend in the 1970s and promptly grabbed balance. Its usage been in existence for forty years and sometime later, SQL is so far, the most used sort of database. As shown by db-engines.com, the four of the leading five most prominent databases are social; the main NoSQL database to get through the best five is MongoDB, which has overwhelmed PostgreSQL's fourth-place. A part of the best locales out there uses SQL to inquiry their information, including Facebook and Airbnb. NoSQL will be around in the future because it reflects the ability to give significant functionality, and performance benefits for a

We also studied and compared new emerging NoSQL databases like Cassandra, Accumulo, CouchDB, Hbase, MongoDB etc. to find the best solution for organizations in accordance with their requirements.

In this paper, we will review one of the graph database (Neo4j), which the graph database is part of the emerging technology that is called NoSQL and compared it with one of the traditional relational databases (MySQL). MySQL, it is being another name for Relational Databases and it has been used for a long time period until now. However, with the emergence of Big Data there was clearly a need for more flexible databases. Facebook 's Graph Search use Neo4j, a graph database, is an application which clearly displays how relationships need to be modeled in a more efficient and sophisticated manner than using conventional relational models. In this paper, we will make a comparison between MySQL and Neo4j based on the features like ACID, replication, availability and the language that is used in both of them.

6). This literature review will consist of four parts. Firstly, it will briefly introduce DBMSs and review the development of data models. Secondly, it will discuss DBMS products based on the relational data model. Following that, DBMS products based on logical models will be illustrated. Lastly, strengths and weaknesses between different data models will be demonstrated.