Research Security Issues Within Modern Nosql Data Bases Essay

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.

NoSQL database, also called as not only SQL database, is using a different data storage and retrieval mechanism from the relational tables adopted by traditional relational database management system. In the sense of CAP (Consistency, availability and tolerance) theorem, NoSQL database sacrifices some consistency features to get more availabilities and partition tolerances. In most cases, NoSQL database systems are distributed and parallel, although the RDBMS is still dominating the database market, the NoSQL databases are becoming more and more popular and in a tendency of catching up, especially in the domains of SNS and major Internet companies, which requires large-scale data storage for massively-parallel data processing across a large number of commodity servers. The purpose of this report is to understand main characteristics of the NoSQL database and compare the strengths and weaknesses of NoSQL databases over the RDBMS.

Big Data is creating great opportunities for businesses, companies and many large scale and small scale industries. Hadoop is an open-source cloud computing and big data framework, is increasingly used in the IT world. The rapid growth of Hadoop and Cloud Computing clearly indicates its importance as a Big Data enabling technology. Due to the loopholes of security mechanism, the security issues introduced through adaptation of this technology are also increasing. Hadoop services do not

Both databases have some advantages and disadvantages. As seen in “Figure 2” there are listed some limitations of both. Although the NoSQL database is not as well tested as SQL it will still keep growing as the technology advances so well and performance must be improved which NoSQL allows for. Below in “Figure 3” are listed some advantages of both databases.

Apache Cassandra is open source NoSQL database and it was found in Facebook. Cassandra 's data model offers the convenience of column indexes with the performance of log-structured updates. It provides horizontal scalability and the downtime is lesser compared to

The purpose of this report will be to understand what a NoSQL (Not Only SQL) database and document database is, specifically MongoDB while looking at the document database.

Answer: NoSQL DB is document based DB and represented in collection without solid structure key-value pairs, documents, graph Db or wide-column stores and has not predefine schema, use Dynamic schema. NoSQL DB is horizontally scalable that will increase amount of DB servers in the pool of

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.

Key Value -> Key value data stores references the data using a unique key. The unique

In the initial stages of evolution of databases, relational databases systems was designed as a solution to the problems of flat file databases. A relational database stores data in multiple table. This technique helped to overcome the issues like data duplication, data noise and inconsistency which ensured that the data is entered and stored only once. Later as the data grew in size, it became a challenging task to handle such a significantly large amount of data. Key features like high data velocity, data variety, data volume and data complexity are few important reasons which the traditional database systems failed to handle successfully. As a result NoSQL came into

NoSQL Databases are being used in the social media applications and big data processing based portals in which huge, heterogeneous and unstructured data formats are handled. NoSQL Databases are used for faster access of records from the big dataset at back-end. The AADHAAR Card implementation in India was done using NoSQL Databases as huge amount of information is associated including Text Data, Images, Thumb Impressions and Iris Detection. Any classical database system cannot handle the dataset of different types (Image, Text, Video, Audio, Video, Thumb Impressions for Pattern Recognition, Iris Sample) simultaneously.

As there is a rise in data volumes, the manageability of data and storing these huge volumes of data became a cause of concern to most of the organizations. It was during this period when Number of SQL or more popularly NoSQL was introduced, to process these large amounts of data efficiently and effectively. For this purpose, various Data Store categories were developed, based on the different data models. Some of the categories are:

In comparison to relational databases, NoSQL databases are better at providing superb performance while handling data of large scale and variable structures

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.