𝔖 Scriptorium
✦   LIBER   ✦

πŸ“

Big Data, Big Analytics: Emerging Business Intelligence and Analytic Trends for Today's Businesses

✍ Scribed by Michael Minelli, Michele Chambers, Ambiga Dhiraj(auth.)


Tongue
English
Leaves
205
Category
Library

⬇  Acquire This Volume

No coin nor oath required. For personal study only.

✦ Synopsis


Content:
Chapter 1 What Is Big Data and Why Is It Important? (pages 1–18):
Chapter 2 Industry Examples of Big Data (pages 19–59):
Chapter 3 Big Data Technology (pages 61–88):
Chapter 4 Information Management (pages 89–98):
Chapter 5 Business Analytics (pages 99–125):
Chapter 6 The People Part of the Equation (pages 127–149):
Chapter 7 Data Privacy and Ethics (pages 151–167):


πŸ“œ SIMILAR VOLUMES


Big Data, Big Analytics: Emerging Busine
✍ Michael Minelli, Michele Chambers, Ambiga Dhiraj πŸ“‚ Library πŸ“… 2013 πŸ› Wiley 🌐 English

<p><b>Unique prospective on the big data analytics phenomenon for both business and IT professionals</b></p><p>The availability of Big Data, low-cost commodity hardware and new information management and analytics software has produced a unique moment in the history of business. The convergence of t

Computational Intelligence Applications
✍ Vijayan Sugumaran, Arun Kumar Sangaiah, Arunkumar Thangavelu πŸ“‚ Library πŸ“… 2017 πŸ› Auerbach Publications;CRC Press 🌐 English

<P>There are a number of books on computational intelligence (CI), but they tend to cover a broad range of CI paradigms and algorithms rather than provide an in-depth exploration in learning and adaptive mechanisms. This book sets its focus on CI based architectures, modeling, case studies and appli

Big Data and Business Analytics
✍ Jay Liebowitz πŸ“‚ Library πŸ“… 2013 πŸ› Auerbach Publications 🌐 English

<P>"The chapters in this volume offer useful case studies, technical roadmaps, lessons learned, and a few prescriptions to β€˜do this, avoid that.’"<BR>―From the Foreword by Joe LaCugna, Ph.D., Enterprise Analytics and Business Intelligence, Starbucks Coffee Company</P> <P>With the growing barrage of

Digital Economy, Business Analytics, and
✍ Saad G. Yaseen πŸ“‚ Library πŸ“… 2022 πŸ› Springer 🌐 English

<p><span>This book is about turning data into smart decisions, knowledge into wisdom and business into business intelligence and insight. It explores diverse paradigms, methodologies, models, tools and techniques of the emerging knowledge domain of digitalized business analytics applications.</span>