Uses Of Nosql Databases On Insurance Industry

The world has become a very complex place. From the earliest days of computers, storing and manipulating the data have been a major application focus. There has been enormous growth in the computer and database applications over the past two decades. Database is a group of data which consists of tables, schema, reports and views. Database may be of any size and complexity. For example, a salesperson may maintain a small database of customer contacts which consists of few megabytes in his or her computer. A large

Performing a sample query in Microsoft Access using QBE and using its tools to establish the query parameters gives a graphical representation of the query and on viewing the SQL within the program the user is presented with an accurately written piece of equivalent SQL code that performs an identical query.

When a business started, the related data has been generated. Along with the development of the business, the data becomes larger and accumulates day by day. The accumulated data can be transferred to meaningful information for the managers’ decision makings. Storing and protecting the data is essential to the development of the enterprise business. Today, almost all enterprises use computer storage to store their data instead of the hard copy papers. In the past, hard copy papers stored the data for the enterprise, but it existed too many potential risks, such as data loss, data stolen, data destroy, or cannot sharing with others. In 1990s, more companies started to use computer hard drive to store their business data; this change impacted the later development of the storage strategies. Along with the technology development and the data becomes bigger and bigger, big data problems appear. How can enterprise store such large data and manage such large data effectively? Currently there are several classic storage strategies to help enterprise solve their data storage problems, such as spinning media, flash, and cloud. The enterprise also can select onsite or offsite option as their considerations based on their business environment. Security issues are popular discussion topics as well in this paper.

Relational database contains data records that do not have a preset of relationships, permitting the user to define his or her relationship when accessing the data. Since users have much control over the data being accessed, relational databases can perform a variety of tasks. Such as defining the database; querying the database; adding, editing, and deleting data from the database; modifying the structure of the database; securing data from public access; communicating within the network; and exporting and importing data (Murthy, 2008).

Since 1960 and beyond the need for an efficient data management and retrieval of data has always been an issue due to the growing need in business and academia. To resolve these issues a number of databases models have been created. Relational databases allow data storage, retrieval and manipulation using a standard Structured Query Language (SQL). Until now, relational databases were an optimal enterprise storage choice. However, with an increase in growth of stored and analyzed data, relational databases have displayed a variety of limitations. The limitations of scalability, storage and efficiency of queries due to the large volumes of data [1] [2].

The invention of relational databases have brought a number of changes to the business world in which they operate specially for the businesses whose prime focus is on its customers, their likes and dislikes to win more market share. There is no such concept as “one size fits all” in using this technology, it varies from industry to industry. One thing may work for some businesses and may not work for others, therefore it is advisable that one should shop around before investing in any of the technologies because it is vital to find an industry-specific solution. One technique to narrow the search for industry-specific solutions is to find out what our competitors are using to gain more customer base.

This statements are used for both communication with queries for information from a relational database this schema set of tables contain data built into predefined categories.

Though non-relational databases have been around since the 1960s, many companies have used relational databases to store data[2] but over the past decade with companies generating vast amounts of data, relational databases are unable to effectively manage these large data collections[1]. An ever increasing amount of companies is now, however, turning to non-relational databases known as NoSQL databases as they are more effective at handling these large amounts of data thus the reason we have seen an increase in its popularity over the past decade[2]. The term NoSQL database which stands for Not Only SQL[3] is defined as a database that

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.

When CCCL Inc was a small company, keeping records and customer data by the use of spreadsheets, access databases, and manual records were realistic practices, but as the company has grown, it has outgrown such practices. Management at GRW is now searching for a centralized database solution that will allow multi-department database collaboration as well as the ability to mine data as needed, companywide. The proposed solution to the needs of the company is the installation of Microsoft SQL Server 2012. The following report addresses the type of SQL Server to implement, security for the new database, high availability, plans for backup & recovery, integration services, and other related details to ensure a smooth transition into the

NoSQL DBMSs advantages and Comparison to Relational DBMSs The reason why NoSQL has been so popular the last few years is mainly because, when a relational database grows out of one server, it is no longer that easy to use. In other words, they don't scale out very well in a distributed system. All of the big sites that you mentioned Google, Yahoo, Facebook and Amazon (I don't know much about Digg) have lots of data and store the data in distributed systems for several reasons. It could be that the data doesn't fit on one server, or there are requirements for high availability. Here is a table showing comparison and advantages of NoSQL over relational

Structured Query Language, commonly referred to as SQL, is a programming language that is used to communicate with and handle databases. In order to maximize the outputs that they get from the huge amount of data collected, many companies and establishments employ IT professionals well-versed in SQL. SQL programs are adopted and used by companies in order to access and influence the data and information that is maintained in their databases, as well as for generating and modifying new tables.

The USA has adopted the technology of the cloud computing with the application of the No

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.

For this coursework two kinds of data models can be used. The object oriented data model, Object Oriented Database Management System(OODBMS), or the relational data model, Relational Database Management System(RDBMS). The differences between these two models and the data model to be used are described in this chapter.