NoSQL

The gradual transformation in data quantity has resulted in emergence of the Big data and immense datasets that need to be stored. Traditional relational databases are facing many difficulties meeting the requirements of the volume and heterogeneity structure of big data. NoSQL databases are designed with a novel data management system that can handle and process huge volumes of data. NOSQL systems provide horizontal scalability by supporting horizontal data partitioning across heterogeneous nodes. In this paper, a MapReduce Rendezvous Hashing Based Virtual Hierarchies (MR-RHVH) framework is proposed for scalable partitioning of Cassandra NoSQL databases. MapReduce framework is used to implement MR-RHVH on Cassandra to enhance its scalability…

Not Only SQL (NOSQL) In this paper I will use comparisons to help distinguish what is NOSQL. We will talk about NOSQL vs SQL. Document, Graph, or Key-value and wide column Models of NOSQL. We will touch on Schema and end with a condensed comparison of SQL and NOSQL. In short, a brief overview of not only NOSQL but also its opposing and conjoining systems, and their pro’s and con’s. To really understand these comparisons, you need to have an Idea of what JavaScript and JSON are in addition to…

\section{Tiramola}\label{sec:tiramola} The platform that we are going to implement our work on is Tiramola\cite{tiramola}. Tiramola is a cloud-enabled, open-source framework for automatic resizing of NoSQL clusters. In the earliest versions of Tiramola the decision of adding or removing resources were modeled as a Marcof Decision Proccess. In his deploma thesis Konstadinos Lolos \cite{tiramola-lolos} tested a different approach using Adaptive State Space Partitioning of Markov Decision…

While it’s true that MongoDB is not susceptible to SQL language abuses, its JSON documents can still be altered to achieve the same malicious results. Furthermore, MongoDB has had its own share of vulnerabilities—for example, a recently discovered widespread vulnerability gives hackers the ability to remotely crash the database application. Additionally, perusing the Common Vulnerabilities and Exposures (CVE) database reveals a host of security exposures and vulnerabilities for MongoDB. Like…

problems including performance and scalability issues when it comes to big data. To increase the performance of DBMS for big data storage needs, partitioning the data across several sites and paying big license fees for enterprise SQL DBMS might be the two possible options (Stonebraker, 2010), however they are not even without disadvantages such as inflexible data management, high system complexity, high operational and management costs and limited scalability. NoSQL Databases The complexity…

(〖LD〗_(〖DS〗_j ).n) by determining whether the load belong to this node in this zone or not based on the Adaptive HRW protocol. Without using bloom filter this load membership test need O(log(AVG n[max┬i⁡celi , min┬i⁡flo] running time depends on number of nodes in each Geographic zone, while using bloom filter will shorten this time. Since bloom filter requires a single scan of the data [40], its construction is less time consuming for storing elements of a set. 5 Performance Evaluation Number…

definitions and requirements, analytics outputs aren't trusted and can lead to ineffective insights. (Flanigan & Thomas, 2017) This implies opportunities for data scientists and analysts to make an impact to their companies, as well as pose challenges for them to explain the “black box”of big data analytics to the rest of people in the same industry. Challenges of Technologies With current trends in personalized medicine, there is an increasing need to produce, store, and analyze these…

have been looking into the field of big data. Lately the demand has been high, and it is expected to surge further down the road. The presence of a big data related courses in the curriculum is, in fact, one of the things that sparked my interest in George Mason’s data engineering graduate program. I have read about big data and understand the concept but I would love to learn more about big data technology. I do not expect that taking a couple courses would make me an expert but I believe that…

They are able to do it using an advanced platform which merges logistics subsystems with cutting-edge online and mobile payment models. This platform vast range of products including thousands of national, international and regional brands. Snapdeal.com has a network of more than 20,000 sellers which serves 20 million-plus members. In India, one out of every six Internet users uses Snapdeal. This is possible by the sophisticated technology such as Aerospike flash and DRAM optimized in-memory…

potentially large datasets in a reasonable timeframe not accessible to standard IT technologies. By extension, the platform, tools and software used for this purpose are collectively called “Big Data technologies” [4]. • The availability of Cloud based solutions has dramatically lowered the cost of storage, amplified by the use of commodity hardware. Virtual file systems, either open source or vendor specific, helped transition from a managed infrastructure to a service based approach; • When…