Big Data Analytics is the process of examining large amounts of data to discover patterns, trends, and insights that can help businesses make better decisions. It can be used to prevent fraudulent activities, understand business operations and performance, Uncover hidden patterns and correlations, and identify market trends and customer preference.
Big data analytics can be performed on data sets that are structured, semi-structured, or unstructured, and can come from different sources and sizes.
Big Data Analytics involves the application of advanced analytic techniques—such as statistical analysis, machine learning, data mining, and predictive modeling—on large, complex datasets. These insights can reveal hidden patterns, trends, and correlations that would have otherwise remained undetected in smaller datasets.
This Book is designed for BBA Business Analytics students under various universities. Its main objective is to help organisations make better decisions by analyzing large amounts of data. Big data analytics can help organizations make faster and better decisions, such as optimizing costs and supply chains.
This book is written in a simple and easily understandable language.
Contents –
UNIT 1 INTRODUCTION TO BIG DATA
Internal Exam Questions and Answers
UNIT 2 FUNDAMENTALS OF BIG DATA ANALYTICS
Internal Exam Questions and Answers
UNIT 3 BIG DATA PLATFORMS
Internal Exam Questions and Answers
UNIT 4 BIG DATA IN THE ENTERPRISE
Internal Exam Questions and Answers
UNIT 5 THE BIG DATA ANALYSIS LIFECYCLE
(From Dataset Identification to Integration, Analysis and Visualization)
Internal Exam Questions and Answers
