The Big Data paradigm has become incredibly popular in various fields such as science, engineering, economics, business, social science and government. Organizations are utilizing Big Data to enhance their performance by leveraging massive amounts of data. These data assets generate revenue for the organizations leading to the widespread adoption of Big Data strategies to boost revenue. As a result numerous new technologies have emerged based on Big Data. In this paper titled "A Taxonomy on Big Data: Survey," Ripon Patgiri presents a taxonomy of Big Data and provides an in-depth insight into the Big Data paradigm. The author discusses the exponential growth of Big Data due to factors like IoT devices and smart technologies in areas such as healthcare, agriculture, transportation and more. Additionally the paper explores how sciences generate enormous datasets that require handling through Big Data techniques. The taxonomy presented in the paper covers various aspects of Big Data analytics including classification, security mining and machine learning. By categorizing different elements within the realm of Big Data this taxonomy provides a comprehensive framework for understanding and organizing the vast amount of data generated. Overall this paper offers valuable insights into the world of Big Data and its impact on organizations across different sectors. It serves as a useful resource for researchers and practitioners seeking to navigate the complexities of working with large datasets and harnessing their potential for organizational growth and success.
- Big Data paradigm is popular in various fields such as science, engineering, economics, business, social science, and government
- Organizations use Big Data to enhance performance and generate revenue
- Numerous new technologies have emerged based on Big Data
- The paper titled "A Taxonomy on Big Data: Survey" presents a taxonomy of Big Data and provides insights into the paradigm
- Factors like IoT devices and smart technologies contribute to the exponential growth of Big Data in areas like healthcare, agriculture, transportation, etc.
- Sciences generate enormous datasets that require handling through Big Data techniques
- The taxonomy presented in the paper covers aspects of Big Data analytics including classification, security mining, and machine learning
- The taxonomy provides a comprehensive framework for understanding and organizing the vast amount of data generated
- The paper offers valuable insights into the world of Big Data and its impact on organizations across sectors
- It serves as a useful resource for researchers and practitioners working with large datasets.
Big Data is a popular concept used in many different areas like science, business, and government. It helps organizations improve their performance and make more money. New technologies have been created because of Big Data. A paper called "A Taxonomy on Big Data: Survey" explains the different parts of Big Data and how it works. Things like smart devices and technology contribute to the big amount of data we have. The paper also talks about how scientists use Big Data to handle large amounts of information. The taxonomy in the paper organizes and explains things like analyzing data, keeping it safe, and using machines to learn from it. This paper is helpful for people who study or work with big sets of data."
Definitions
- Big Data: A concept used in many fields that refers to large amounts of information.
- Paradigm: A way of thinking or doing things that is popular or widely accepted.
- Revenue: Money earned by a company or organization.
- Taxonomy: A system for organizing things into groups based on their similarities.
- Exponential growth: When something grows very quickly over time.
- IoT devices: Internet of Things devices are objects that can connect to the internet and share data with other devices.
- Healthcare: Taking care of people's health and helping them feel better when they are sick.
- Agriculture: Growing crops and raising animals for food or other products.
- Transportation: Moving people or goods from one place to another using vehicles like cars, trains, or planes.
- Analytics: Using
An In-Depth Look at the Taxonomy of Big Data: A Survey
Big Data has become an integral part of many organizations, as they leverage massive amounts of data to boost their performance and revenue. This has led to the emergence of numerous new technologies based on Big Data. To provide a comprehensive framework for understanding and organizing this vast amount of data, Ripon Patgiri presents a taxonomy on Big Data in his paper titled "A Taxonomy on Big Data: Survey."
Exploring the Growth of Big Data
The paper begins by exploring the exponential growth of Big Data due to factors such as IoT devices and smart technologies in areas like healthcare, agriculture, transportation and more. Additionally it looks into how sciences generate enormous datasets that require handling through Big Data techniques. The author also discusses how these large datasets can be used for various purposes such as predictive analytics, customer segmentation and fraud detection.
Presenting a Comprehensive Taxonomy
The taxonomy presented in the paper covers various aspects of Big Data analytics including classification, security mining and machine learning. It categorizes different elements within the realm of Big Data which provides readers with an organized view into this complex field. The author explains how each element is related to one another and how they interact with each other when dealing with large datasets. He also highlights some key challenges associated with working with big data such as privacy concerns, scalability issues and lack of resources needed to manage them effectively.
Conclusion
Overall this paper offers valuable insights into the world of Big Data and its impact on organizations across different sectors. It serves as a useful resource for researchers and practitioners seeking to navigate the complexities of working with large datasets and harnessing their potential for organizational growth and success.
