Implementing Nosql Databases On The Critical Line Of Business Applications

NoSQL today stands for ‘Not only SQL’ and encompasses a myriad of different database technologies that can cope up with scale and agility challenges faced by modern applications. It provides the capability to store unstructured data, which is not possible using RDBS. The major advantage of using a NoSQL DB is horizontally scalability, that is, cheap infrastructure can be newly added to improve performance instead of upgrading an already expensive system. There are four types of NoSQL databases, as follows

Improved performance: A distributed DBMS fragments the database to keep data closer to where it is needed most. This helps to avoid unnecessary data transfer.

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

SQL (Structured Query Language) is a programming language designed for managing data in relational database management systems (RDBMS). The most typical uses of SQL involve applications where a user must input certain information that references a database. Some types of SQL applications are login pages, search pages, looking up account information, or other such types of uses. SQL has several language elements including clauses, expressions, predicates, queries, statements, and some insignificant white space. In today's society, RDBM systems must handle enormous amounts of data. Not only must they be able to store, reference, and retrieve data from the systems, they must also be able to do it quickly.

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

The main driving forces of cloud data storage are reputable companies such as Amazon and Google building comprehensive computing infrastructures (Google, 2009). These infrastructures are removing the complexity of in-house data storage and ultimately reducing costs of limited networked data centres (Hitachi, 2010). The traditional inefficient model of purchasing servers every time you need to accommodate for high use or growth is now being replaced by internet based systems that replicate your data centres but without the big overheads (Google, 2009). This flexibility assists in the ever changing business world and its continuous improvement initiatives to remove waste, improve efficiency, and ultimately reduce costs. Another key driving

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

Big Data. Hadoop works on a distributed model, has a built in fault tolerance and handles

Over many ago relational databases reside most of the data but after the introduction of NoSQL database had changed this procedure. Most of the unstructured data had been sent to NoSQL database. Relational database systems, which showed good performance before the birth of internet and cloud computing era is now unable to control the heat of new technologies. To stabilize this situation new requirements were set to design by RDBMS. To meet these challenges they need highly scalable and unstructured data model with high performance; so they choose NoSQL database (Muhammad Mughees, 2013).

NoSQL databases are a significant departure from the relational model that has dominated the business world for the past few decades. Standing for “Not Only SQL,” these products are all some variation of a non-relational, key-value pair database, and they are becoming very popular with companies that use Big Data and prioritize speed or availability over consistency of data.

Describe in a few sentences a business or computational problem you would want to solve with a NoSQL database, and what makes NoSQL a better choice in this case?

In this section we descus the expected properties of a system designed for performing data analysis at the cloud environment and how parallel database systems and MapReduce-based systems achieve these properties.

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.

DataStax Enterprise is a highly scalable DBMS based on open source Apache Cassandra. Its strengths are flexible NoSQL data modeling, multi-data-center support, and linear scalability on clustered commodity hardware. Customers like eBay, Netflix, and others typically run globally distributed deployments at massive scale.

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.