Big Data: Concepts, Technology, and Architecture
Balamurugan Balusamy
Nandhini Abirami R
Seifedine Kadry
Amir H. Gandomi
Source: WeLibBig Data: Concepts, Technology, and Architecture by Balusamy et al. gives an introduction to big data and how it is used in practice.
The book starts with the basics: what big data is, why traditional databases have trouble handling very large and varied datasets, and the differences between structured, semi‑structured, and unstructured data.
It then explains storage and processing technologies such as distributed systems, cluster computing, and the contrast between relational and NoSQL databases. These tools are shown as ways to deal with the challenges of data volume, variety, and speed.
Data processing frameworks like Hadoop and related tools are introduced, along with analytics methods such as statistical analysis, machine learning, and data mining. The book also covers visualization techniques using tools like Tableau and programming environments to turn data into clear charts and graphics.
Real‑world case studies show how big data is applied in business and research, highlighting common issues such as data diversity, storage limits, and privacy concerns. Finally, the text discusses cloud computing, data streaming, clustering, and visualization as important parts of modern big data architecture.
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