Big Data is a phenomenon in the rapidly changing world of technology that has altered our understanding of and capacity for working with data. The exponential expansion of digital data has permeated every facet of modern life, from commerce and medicine to economics and government. Every new day brings a new set of possibilities and problems as the world’s data volume, velocity, and diversity continue to grow. The complexity of Big Data and the underlying ideas behind it are becoming increasingly important to grasp as their scope continues to expand. This book, suitably titled “Big Data – Terms and Concepts,” sets out to simplify the nuances of Big Data so that its readers may have a firm grasp on the subject.
This book aims to be the go-to resource for anybody interested in Big Data, whether they are professionals, students, researchers, or hobbyists. This book will provide you with the groundwork to understand the complexities of Big Data, whether you’re an aspiring data scientist, a company leader looking to use data-driven initiatives, or just someone captivated by the vast potential of information. In these pages, you’ll set out on an adventure to learn about the many different aspects of Big Data and the terminology and concepts that pertain to it. This book provides an easy and thorough introduction to the topic of data science, covering everything from the fundamentals of data storage, administration, and analysis to the most cutting-edge methods, including machine learning, artificial intelligence, and data mining.
