Angielski
Big Data Analytics is a transformative field that focuses on extracting meaningful insights from massive volumes of structured, semi-structured, and unstructured data. With the rapid growth of digital platforms, Internet of Things (IoT), cloud computing, and enterprise systems, organizations today generate data at unprecedented speed, scale, and variety. Big Data Analytics enables efficient data processing, intelligent decision-making, and predictive modelling across diverse domains.This book provides a comprehensive introduction to the concepts, architectures, tools, and techniques of Big Data Analytics, covering data acquisition, storage, processing, and analysis. It emphasizes distributed computing frameworks such as Hadoop, data processing models like MapReduce, and modern analytics approaches used in real-world applications. The content is designed to bridge the gap between theory and practice, enabling learners to understand both foundational principles and industry-relevant technologies.Big Data Analytics plays a critical role in sectors such as business intelligence, healthcare, finance, social media analytics, smart cities, and scientific research.
