If you still have a doubt in contemplating the value of big data management and analytics, then this book is for you. It is intended to fill the current gaps in the thinking shift of the data stakeholders by providing elaborative discussions on big data ecosystems, fundamentals, management, and analytics in a readable and straight-forward fashion. Business leaders, analysts, data engineers, and scholars will be the primary beneficiaries of this pristine book which aims at enriching the journey of big data management and analytics through a very pragmatic approach. Attaining big data business leadership is a challenging task. Nonetheless, it is not only achievable but also potentially the most rewarding. More and more value is demanded from businesses, both internally and externally, to attain competitive edge. The recent surge in big data ecosystem and landscape has left them wondering how to develop the insight, best practices, and data leadership. Some industries are acquiring technical skill-set at their workplace to harness big data analytics projects, while some other sectors are focusing on building technological and infrastructural capability by including a portfolio of big data ecosystems. This book proffers big data business leadership model that will enable industries to develop their own big data journey—pathways, competencies, and competitiveness.
- Considers an appropriate and balanced way of addressing topics in a lucid manner
- Adopts a user-friendly approach and an easy-to-understand language covering realistic vignettes, cases, exercises, and examples
- Provides reliable, concise information on the real benefits, usage, and operationalization aspects of big data business leadership
- Explores the capabilities and opportunities that Hadoop ecosystem provides
- Covers topics such as MapReduce, HIVE, HBase, PIG, SQOOP, FLUME, and R
- Develops a thinking mind-set to understand and generate business value through data
- This book includes a licence key for our digital learning app, CENGAGE app, that provides access to self-assessments and flashcards.
- The Age of Information Pioneered Product
- Big Data Ethics
- The Dawn of Data Centre Operating System
- Data Stock: Boon or Bane
- Hive and HBase: Win-Win Together
- Pig
- Data Lookout Readiness
- Foundation of ‘R’: Hands-on
- Supervised Learning
- Unsupervised Learning
- Big Data Business Leadership Model
Nitin Upadhyay
Nitin Upadhyay is a researcher, inventor, innovator, consultant, leader, coach, academician, and a prolific writer. Over the years, he has engaged with top Fortune 500 companies. He is a leading authority and speaker on innovation, design, cloud computing, big data & analytics, future technology, and user experience. He is currently the Chair and Head of the Centre for Innovation at Goa Institute of Management. He is also working in the area of information technology and is a core member of Big Data Analytics programme, Goa Institute of Management. He has wide industry, academic, consultancy, and research experience and is an executive member and Chair of Cloud SLAs (service-level agreements) for Cloud Computing Innovation Council of India. As a Startup Coach, he provides innovative insights, roadmap, and action plan for successfully materializing innovative processes and new products.
Dr Upadhyay has contributed to numerous peer-reviewed publications/presentations/posters and talks and 9 books. He is associated with various journals and technical societies of repute in various capacities. He has received many awards and recognitions nationally and internationally, such as Research Shepherd, Star Researcher and Innovator, Outstanding Scientist, Lifetime Achievement Award USA, and Best Research (Intl. Conf. South Korea). He is listed in the Who's Who in the World, Who's Who in Asia, and Top Innovators of the World (IBC Cambridge).
