A Review on Cloud Based Big Data Analytics

Cloud Computing is a technology getting popularity in the field of sharing of data, hardware and software resources. It's all about sharing of computing resources rather than getting local servers or personal devices. Cloud is a service provided or available through Internet Cloud Computing is a computing in which services are delivered through the Internet. The goal of Cloud Computing is to make use of unite the millions of data and its user into single platform. Cloud computing we are using huge group of servers with specialized connections to distribute data processing among the servers. Big Data is a collection of huge volume of data structured and unstructured data that are so large and difficult to get process using traditional databases and software technologies. In big data massive volume of distributed data can be handled or stored in clouds. Cloud computing is the best solution for storage of massive amount of data.

International Journal of Innovative Computing and Applications, 2018

The rapid growth in social media usage introduced new trends to be in line with social media technologies such as 'big data' and 'cloud computing'. Organisations collect data to use it at new levels to share accurate and stable business experimentation that direct decision makers to make brilliant decisions and help organisations make decisions in real time. These trends have also guided into a revolutionary transformation in research, invention, and business marketing. This paper highlights some aspects of big data and cloud computing with their effects on an organisation's business. Furthermore, some issues of using big data and cloud computing in various environments and the usage of cloud computing for Internet of things and issues about it were also discussed. The paper is organised into five sections: introduction, background, literature review; with subsections about Hadoop, cloud computing, and big data. Section 4 gives challenges while Section 5 gives the conclusions.

International Journal of Interactive Mobile Technologies (iJIM), 2017

Big data is currently one of the most critical emerging technologies. Big Data are used as a concept that refers to the inability of traditional data architectures to efficiently handle the new data sets. The 4V’s of big data – volume, velocity, variety and veracity makes the data management and analytics challenging for the traditional data warehouses. It is important to think of big data and analytics together. Big data is the term used to describe the recent explosion of different types of data from disparate sources. Analytics is about examining data to derive interesting and relevant trends and patterns, which can be used to inform decisions, optimize processes, and even drive new business models. Cloud computing seems to be a perfect vehicle for hosting big data workloads. However, working on big data in the cloud brings its own challenge of reconciling two contradictory design principles. Cloud computing is based on the concepts of consolidation and resource pooling, but big ...

2016 World Automation Congress (WAC), 2016

On this paper, large sets of data have been accumulating in all aspects of our lives for a long time. Advances in sensor technology, the Internet, social networks, wireless communication, and inexpensive memory have all contributed to an explosion of Big Data. System of Systems (SoS) integrate independently operating, non homogeneous systems to achieve a higher goal than the sum of the parts. Todays SoS are also contributing to the existence of unmanageable Big Data. Recent efforts have developed a promising approach, called data analytic, which uses statistical and cloud computing to reduce using size of Big Data to a manageable size to extract information, build a knowledge base using the derived data, and eventually develop a nonparametric model for the Big Data. This research discusses approaches and environments for carrying out analytics on Clouds for Big Data applications. It revolves most important areas of analytics and Big Data. Through a detailed survey, we provide recommendations for the research community on future directions on Cloud-supported Big Data computing and analytics solutions.

Joe Celko’s Complete Guide to NoSQL, 2014

Cloud computing is one of the most significant shifts in modern ICT and service for enterprise applications and has become a powerful architecture to perform large-scale and complex computing. Big data provides users the ability to use commodity computing to process distributed queries across multiple datasets and return resultant sets in a timely manner. Big data utilizes distributed storage technology based on cloud computing rather than local storage attached to a computer or electronic device. Big data evaluation is driven by fast-growing cloud-based applications developed using various categories of big data. Cloud computing, big data and its applications, advantages are likely to represent the most promising new frontiers in science. Clouds are also being used to deal with the Big data to effectively store and exploit the unstructured data of the organizations. This paper presents an overview of the cloud computing scenario today, different examples of the cloud services, different enterprises in the field of cloud computing are being mentioned in the paper. How cloud is related with big data and what are the possible solutions of big data in today's scenario is also discussed in the paper.

International Journal of Machine Learning and Networked Collaborative Engineering, 2017

In this paper we focused on the emerging trends and various approaches for carrying out analytics on clouds for Big Data application. It revolves around four important analytics and Big Data. We also discussed about the some of the real world challenges in this cloud and Big Data computing era. This paper also focused on the implementation strategy of Big Data like Management, Data Varity etc. It helps to identify the technology gaps which may help to research communities so that they will have a directions for future scope of Big Data based on cloud computing.

International Journal of Computer Applications, 2018

Cloud computing is an intense innovation to perform massive scale and complex computing. It wipes out the need to keep up costly processing equipment, committed space and programming. Gigantic development in the size of information or big data generated through cloud computing has been observed. The term Big Data isn't just about the extent of information that comes in pet bytes or zeta bytes; rather it is more about capability to handle huge amounts of data. Tending to big data is a challenging and time requesting task for an expansive computational framework to guarantee productive data processing and analysis. The rise of big data in cloud computing and enhancing the security of big data is reviewed in this study.

International Journal of Advanced Engineering and Management Research, 2023

The terms "big data" and "cloud computing" are often used interchangeably since many public cloud services analyze large amounts of data. Every day, a massive amount of data is produced from abundant of derivation, and this data needs to be evaluated, categorized, and stored with the assistance of cloud computing. The quick progress that has taken place in a variety of IT fields is to blame for this massive increase in the amount of data that is being produced. Conventional data processing methods are unable to handle this data due to its extremely large amount, the rapidity with which it changes, and the multitude of formats in which it is stored. Cloud computing makes available on-demand computing resources and services, making it possible to handle and analyze the vast amounts of data in a manner that is both effective and simplified. This research will discuss how on the general concept of big data and how Cloud computing provides solutions to big data by processing analyzing this huge data. We will start by Introduction of Big data, big data Impact on Today's world, big data architecture, cloud computing, Categories & offerings of Cloud computing then further discuss the solutions offered by cloud computing to big data and limitations of big data on the cloud.

Saman Siadati, 2021

The rapid growth of data in both scale and complexity has transformed the way we store, process, and analyze information. Big data and cloud computing are at the heart of this transformation—driving innovation in artificial intelligence, analytics, and modern business decision-making. This book, Big Data Analyt- ics and Cloud Computing, is designed to provide a practical, accessible, and comprehensive introduction for anyone looking to build a strong foundation in this evolving field. My own journey began with a background in applied mathematics and statistical data analysis, later expanding into data mining, machine learning, and large-scale systems. Over the years, I have worked with technologies such as Hadoop Distributed File System (HDFS), MapReduce, Apache Spark, Kafka, and Flink, as well as cloud platforms like AWS, Google Cloud Platform, and Microsoft Azure. These experiences have taught me that mastering big data analytics is not just about knowing the tools—it’s about understanding how to design and integrate them to solve real-world problems efficiently and at scale.

2015

Today, the world has become closer due to the development of Internet. More people communicate via Internet, and the volume of data to be handled also grows. Nowadays, we talk about petaand zettabytes of data and this volume of data needs to be processed and analyzed further which had led to the research field of big data storage and analysis. Cloud computing is another emerging area in which the services such as infrastructure, storage, and software are provided to the consumers on demand basis. In this paper, we discuss about the big data, cloud computing, and how big data are handled in cloud computing environment. Furthermore, The definition, characteristics, and classification of big data along with some discussions on cloud computing are introduced. The relationship between big data and cloud computing, big data storage systems, and Hadoop technology are also discussed. Lastly, research challenges are investigated, with focus on scalability, availability, data integrity, data ...