Key Features Of The Database Management System

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Ronda, I agree with you, personal lives are always affected when personal information is hacked. Basically, what it comes down to is we are Google's customers. We entrust them with sensitive, confidential information about our personal information. It is important that they protect this information just as carefully as they protect their own sensitive, confidential information. Including, trusting their own employees with our personal information. I believe it is ethical for companies to hold their teammates accountable to the highest level, regarding the internet and our personal information. Employees that use communication systems networks, or forward personal information, is unacceptable Employees should not expect any privacy when using

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.

A key-value store database has a set of keys and values, and each value is associated with a key. The implementation of key-value store database is actually a distributed hash table (Stonebraker, 04/2010). Key-Value Stores(KV), which are normally known as a model of NoSQL databases, are widely deployed for data operation and management in purpose of enhancing Internet services due to better scalability, higher efficiency and more availability than existing relational databases systems (Wang, et al., 2014). Because KV stores sacrifice relation model in exchange for fast writing, and they are often featured with simple methods like “put()”,”delete()” and “get()”.

Firstly a relational database contains a set of tables which basically are linked collectively by the relationships between the tables. Also it is also known as reason such as a database is called relational database.

The outline of this paper consists of the following sections. Section 1 introduces NoSQL database and its classifications. Section 2 gives a brief comparison between NoSQL database and SQL database. Section 3 explains document oriented databases. Section 4 defines Couchbase. Section 5 describes Couchbase Mobile and provides an example of its use in synchronizing data between multiple mobile devices.

Graph Databases – There are few NoSQL Databases store information in a graphical model which scales athwart numerous machines. This model is appropriate for data relationships which are preeminent portrayed as a graph, for example, public transport links, social relations, network topologies or road maps. (Zaki, 2014).

The modern RDBMS advancements are not capable of supporting unstructured information with ideal space necessity. The plan winds up plainly mind-boggling and is henceforth troublesome for designers. The requirement for unstructured information administration is so annoying with conventional RDBMS arrangements (Big data in financial services industry: Market trends, challenges, and prospects 2013 - 2018). Moreover, RDBMS turns out to be an exorbitant answer for creating light-footed web applications with direct information investigation necessities. NoSQL is developing as a proficient possibility in this situation, which connects the issues related with RDBMS innovation. The market development can credit to creative dispatches of NoSQL arrangements, and collective endeavors by NoSQL sellers and clients. The endeavors of organizations, to enhance their market offerings, are creating the request of NoSQL, as a back-end bolster (Big data in financial services industry: Market trends, challenges, and prospects 2013 - 2018). The emergence of agile software development is creating the demand for NoSQL (Big data in financial services industry: Market trends, challenges, and prospects 2013 - 2018). They offer users much more avenues to accept data in many different forms. NoSQL is adaptable as SQL but offers many more uses that can apply to many organizations.

Its distinguishing feature is that the schema, viewed as a graph in which object types are nodes and relationship types

Currently, there are two major of database management systems which are used to deal with data, the first one called Relational Database Management System (RDBMS) which is the traditional relational databases, it deals with structured data and have been popular since decades from 1970, while the second one called Not only Structure Query Language databases (NoSQL), they have been dealing with semi-structured and unstructured data; the NoSQL term was introduced for the first time in 1998 by Carlo Strozzi and Eric Evans reintroduced the term NoSQL in early 2009, and now the NoSQL types are gaining their popularity with the development of the internet and the social media. NoSQL are intending to override the cons of RDBMS, such as fixed schemas, JOIN operations and handling the scalability problems. With the appearance of Big Data,

MOOC (Massive Open Online Course) is getting popularity in not only in Universities worldwide but also in the people who want to enrich their skill sets. As the demand grows, different MOOC websites are taking appropriate action to provide more dynamic environment. They are using NoSQL to maintain the data. Most of the MOOC websites using Document type NoSQL databases to manage videos, forums and assignments. But when it comes to decide which NoSQL database should be implemented there are many choices like MongoDB, CouchDB, ClusterPoint etc. and consequently a question arises why majority of MOOC websites are using MongoDB instead of CouchDB which is also a NoSQL document oriented database? In the following paper it will be more clear which database MongoDB or CouchDB in the present time is more suitable to use for a MOOC website.

Today, Database management systems play a main role in management, data transportation, administrative and control systems. A database management system (DBMS) is system software for creating, managing databases. A database management system creates a systematic way for programs, apps and users to create, retrieve, delete, update and manage data. DBMS ensure that data is consistently organized and remains easily accessible. As a normal person we access to database management systems every day within our personal computers, mobile phones and various digital devises for various purposes like play online games, find something, find a place. Today every business, organization use a DBMS for store,

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.

Before we talk about Fundamentals of database management system, we need to know what is a ‘Data’. Data is a something which has an implicit meaning and that can be deduced to new facts which can be recorded too.

Question 1: Differentiate between database management system and information retrieval system by focusing on their functionalities.