Our analysis illustrates that the Big Data analytic is a fast-growing, influential practice and a key enabler for the social business. This paper covers the leading tools and technologies for big data storage and processing. Hadoop, Map Reduce, and No SQL are the major big data technologies. ...
Big data is the field that is playing vital role in almost every application most probably in business, organizations, health and many more. The paper presents the scope of big data in various fields. One of them is the insurance industry which runs on data, success of any model depends ...
As the world becomes increasingly digitized, the amount of data being generated daily is growing at an unprecedented rate. This has led to the emergence of the field of Big Data, which refers to the collection, processing, and analysis of vast amounts of data. With the right Big Data Tool...
Its primary usage comes in big data applications where real-time data are applicable — for instance, sensor devices and social networking platforms. Additionally, Cassandra uses a decentralized architecture, which implies function modules like data partitioning, failure handling, replication, and scaling ...
Alor-Hernandez, "A general perspective of Big Data: applications, tools, challenges and trends", J. Supercomput., vol. 72, pp. 3073-3113, 2015.Rodriguez-Mazahua, L.; Sanchez-Cervantes, J.L.; Cervantes, J.; Garcia-Alcaraz, J.L.; Alor-Hernandez, G. A general perspective of big data:...
This chapter attempts to construct a bridge between SoS and Data Analytics to develop reliable models for such systems. Four applications of big data analytics will be presented, i.e. solar, wind, financial and biological data.doi:10.1007/978-3-319-30265-2_8Mo Jamshidi...
In this article, you will learn more about big data software services and the best products. We will cover all of their strengths and weaknesses so that you know exactly which one will work best for your needs. By the end of this article, you will know which of the top 13 big data ...
Tableau can efficiently generate visualizations and graphics from large and constantly evolving datasets used in artificial intelligence, machine learning, and Big Data applications. Pros: Offers exceptional visualization capabilities User-friendly interface ...
Chen CLP, Zhang C-Y (2014) Data-intensive applications, challenges, techniques and technologies: a survey on big data. Inf Sci 275:314–347 Article Google Scholar Mazón J-N, Lechtenbörger J, Trujillo J (2009) A survey on summarizability issues in multidimensional modeling. Data Knowl ...
Overview Exploring, visualizing, and analyzing data is a core task for data scientists and analysts in numerous applications.Data visualization(Throughout the article, termsvisualizationandvisual exploration, as well as termstoolandsystemare used interchangeably.) (Ward et al.2015) provides intuitive way...