NoSQL databases have emerged as a backend to support Big Data applications. NoSQL databases are characterized by horizontal scalability, schema-free data models, and easy cloud deployment. To avoid overprovisioning, it is essential to be able to identify the correct number of nodes required for a specific system before deployment. This paper benchmarks and compares three of the most common NoSQ...

Digital world is growing very fast and become more complex in the volume (terabyte to petabyte), variety (structured and un-structured and hybrid), velocity (high speed in growth) in nature. This refers to as ‘Big Data’ that is a global phenomenon. This is typically considered to be a data collection that has grown so large it can’t be effectively managed or exploited using conventional data ma...

A potential problem for persisting large volume of streaming logs with conventional relational databases is that loading large volume of data logs produced at high rates is not fast enough due to the strong consistency model and high cost of indexing. As a possible alternative, state-of-the-art NoSQL data stores that sacrifice transactional consistency to achieve higher performance and scalabil...

As a part of achieving specific targets, business decision making involves processing and analyzing large volumes of data that leads to growing enterprise databases day by day. Considering the size and complexity of the databases used in today’s enterprises, it is a major challenge for enterprises to re-engineering their applications that can handle large amounts of data. Compared to traditiona...

Privacy of data owners and query users is vital in modern clouding data management. Many researches have been done on cloud security, but most of them are focused on the privacy of data owners or of query users separately. How to protect the privacy of the data owners and users simultaneously is a great challenge. In this paper, a solution of data storage and query protocol based on classical h...

Big Data generated from social networking sites is the crude oil of this century. Data warehousing and analysing social actions and interactions can help corporations to capture opinions, suggest friends, recommend products and services and make intelligent decisions that improve customer loyalty. However, traditional data warehouses built on relational databases are unable to handle this massi...

Relational Databases are a traditional approach of data storage more suitable for structured data formats and are constrained by ACID properties. As the modern world data in the form of word documents, pdf files, audio and video formats is unstructured, where tables and schema definition is not a major concern, Relational Databases such as Mysql may not be suitable to serve such Bigdata. An alt...

Within a digital map service environment, the rapid growth of Spatial Big-Data is driving new requirements for effective mechanisms for massive online vector map tile processing. The emergence of Not Only SQL (NoSQL) databases has resulted in a new data storage and management model for scalable spatial data deployments and fast tracking. They better suit the scenario of high-volume, low-latency...