Data Management And Information Systems

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

For the purpose of this paper, we are going to focus on these three type of NoSQL database BigTable, Cassandra, DynamoDB.

Many social networking and/or big data companies like Facebook, Twitter, Yahoo, Google and Amazon are now known for using NoSQL databases. This is because NoSQL systems are non-relational and do not structure their data in tables or typically manipulate or process the data with SQL. Having less restrictions than a relational database, NoSQL has the ability to better handle huge quantities of data in a more efficient way (Moniruzzaman, “NoSQL Database…”). This paper will dig deeper in the several characteristics of NoSQL database systems that separate them from the relational ones. It will also introduce the different models that make up the system as well and a few examples that are currently being used and becoming popular today.

Relational database management system (RDBMS) have used for many decades. However, these databases are facing several challenges with the requirements of many organizations like high scalability and availability. They cannot deal with huge amount of data and requests efficiently. As a result, famous organizations such as Google and Amazon shift from RDBMS to NoSQL databases. NoSQL databases have several features that overcome issues. This paper explains features, principles, and data models of NoSQL databases. However, the main focus of this paper is to compare and evaluate two of the most popular NoSQL databases which are MongoDB and Cassandra.

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.

The term big data came into the picture to refer the big volumes of information’s both the companies and governments are storing. The data may be where we live, where we go, what we buy and what we say etc. all will be recorded and stored forever. More than 90% of data is generated in the past 2 years only and this volume is increasing day by day and doubling for every two years. In this world, the organizations are using the data generated by us and no one knows what they are doing with the collected data. Big data is defined as a lot of structured and unstructured data from different sources, such as E-commerce websites, online transactions, social networks, medical records, internet search indexes, banking and financial services, scientific searches, weblogs, and document searches and so on. Big data also can be described by four V’s: Volume, Velocity, Variety and finally Value.

Big data is an extensive collection of structured and unstructured data. It is a modern day technology which is applied to store, manage and analyze data that are not possible to manage, store and analyze by using the commonly used software or tools. Since all of our daily tasks are overtaken by the modern technologies and all the businesses and organizations are using internet system to operate, the production of data has increased significantly in past

There is a lot of buzz around Big Data and the NOSQL movement these days and rightly so. The issues with data have essentially been two-fold: find cost effective ways to store ever increasing amounts of data and information, and find ways to mine this information to extract meaningful Business Intelligence.

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.

The emerging data from the everywhere in the world make the birth of big data era. There exist potential values in those data, while the big volume, variety and velocity [2] of the data make it nearly impossible for humans to analyze resources manually so as to find the hidden treasures. Under this circumstance, the concept and technique

Thought behind the motivation of the author is throw insight on Big Data its emergence, necessity, essence etc. In this paper the fact that everyone are a part of big data is been mentioned, web is the main source of data. Big data is defined as quintillion bytes of data His exact words are given as “Big Data is the fuel. It is like oil. If you leave it in the ground, it doesn’t have a lot of value. But when we find ways to ingest, curate, and analyze the data in new and different ways, such as in Watson, Big Data becomes very interesting.”Tools that are used to nalyse the big data such as Google BigTable ,Hadoop and MapReduce that revolutionized the organizations has been discussed. Parallel and distributing computing model and the importance of 7 V’s (volume, velocity, veracity, validity, variety, volatility, variety) in finding the true value of Big data has been discussed

The data is too large, moves too fast or does not meet the constraints of the database

Present day most of the clients are using the traditional databases like Oracle, DB2 etc and are experiencing problems in storage and performance. A large number of changes are required so that they can overcome all the drawback of the traditional database and researches are carrying out which is resulting in the database which differ from the normal database characteristics. Various number of clients are changing to NoSQL to overcome the drawbacks they are facing in traditional Database. So NoSQL have increasing demand because of following properties:

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,

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,