Dr. Nitin Upadhyay is excited about the launch of his book on Big Data Management and Analytics prior to the beginning of the Big Data Analytics program at Goa Institute of Management
Dr. Nitin Upadhyay wears many hats as researcher, inventor, innovator, consultant, academic, and author. In his illustrious career he has been associated with several Fortune 500 companies. The Associate Professor at Goa Institute of Management is also highly regarded in the world of academia for the nine books he has already published. He is now set to take the count to double digits with the insightful work "Big Data Management and Analytics". Penned by the leading authority on Big Data and Analytics alongside other new age and future technologies, the book is highly anticipated in industry, research, and academic circles. Interestingly, in keeping with the growing industry trend, GIM is all set to launch its cutting-edge Big Data Analytics program. Dr. Upadhyay is part of the core team behind the program. We spoke to him about his eagerly awaited book, the BDA program at GIM, and what it has in store for aspirants.
You are a prolific writer with nine books till date. What motivated you to write the new book?
Technological advancements are changing our lives, societies, and businesses. Today's generation is on the cusp of transformation with the leap in digital space. It must be prepared for this change. Having witnessed this transformation very closely, I am sharing my experiences and insights in the book.
What aspects of Big Data transformation will be covered in the book?
I have tried to cover diverse aspects of management and analytics relating to Big Data. The book discusses the emerging phenomena of information pioneered product, Big Data ethics, data centre operating system, and management and analytics of data to cater to a larger audience. The line between management and engineering of data ecosystem is getting blurred. The book is ideal for anyone aiming to cope with the change in digital space and reach leadership positions.
Did you have a target audience in mind while working on the book?
This book is intended to fill current gaps in the thinking shift of 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.
If you were to describe some of the key elements of the book, what would they be?
Firstly, it considers an appropriate and balanced way to address the topics in a lucid and readable fashion. I have tried using easy-to-understand language while covering realistic vignettes, cases, exercises, and examples. It offers precise information on real benefits, usage, and operational aspects of Big Data business leadership. Finally, it covers capabilities and opportunities of Hadoop ecosystem, MapReduce, HIVE, HBase, PIG, SQOOP, and FLUME.
Big Data has certainly become the industry buzzword today. But there seems to be some mystery around it. What are the challenges in implementation in these early stages?
Big Data has many stakeholders and thus many expectations in its generation, consumption, regulation, usage, and application. I see organizations are not able to figure out the status quo in terms of Big Data business leadership. Until this is envisioned, the power to attain leadership cannot be harnessed. The most challenging aspect of working with data is not just the technology ecosystem but the people ecosystem. A strong change management in terms of accepting, embracing, and adopting the Big Data ecosystem mindset is required.
How does your new book try to address the problems and challenges faced in the industry?
Attaining Big Data business leadership is a challenging task. But it is not only achievable but also potentially very rewarding. Some industries are acquiring technical skill-set to harness Big Data analytics projects, while other sectors are focusing on building technological and infrastructural capability by including a portfolio of Big Data ecosystems. This book offers Big Data business leadership models that will enable industries to develop their own Big Data journey, pathways, competencies, and competitiveness.
With the growing space in the industry for skilled and trained Big Data professionals, do you think B-Schools are up to the challenge to meet the demand?
Without a strong tie-up between industry, research, and B-Schools, the demand and supply of appropriate skilled professionals cannot be met. Currently, there is a huge gap between industry demand and B-School professionals ready for the challenge. In the next 5-10 years there will be a negligible percentage of industry that will be untouched by the data force. B-School professionals must be ready to appreciate such a challenging task by not only embracing the data ecosystem but also attaining sustained data leadership.
GIM is playing its part by launching its BDA program. Can you throw some light on what it offers aspirants interested in the field?
The Big Data Analytics program at GIM is unique in several ways. The curriculum is designed in line with the needs and expectations of industry, research, and academia. It is the only two-year, full-time residential program in Big Data Analytics in the country. It will be the only program that trains students to be future-ready, data-fluent managers while keeping the balance between management and technological dimensions of Big Data ecosystem.
What according to you makes the program curriculum rich and industry relevant?
One of the most significant elements of developing a relevant curriculum is to bring top experts from the industry to the board of studies and have industry tie-ups. We have incorporated industry opinions and inputs into the course of study and received industry-wide acceptance and appreciation for the proposed program.
As part of the core team behind the program, have you had the opportunity to come up with pedagogy that will be ideal for such an innovative course?
GIM's pedagogy is rooted in learning through actual problem solving and teaching with innovative methods. The program is specially designed to enable students grasp business essentials with the help of conceptual knowledge and empirical cases and apply the BDA tools and techniques to come up with interesting insights. BDA practitioners will be involved with each course to bring real-life flavour to the classroom. Scenario and role play, projects, research, blended learning, games, stimulation, group discussions, and presentations will be some of the techniques used to enhance the critical thinking abilities of students.
You said you have already incorporated industry inputs while designing the program. What is the extent of industry exposure that students can expect during the program?
We have accomplished industry tie-ups so that students can work with real and live data to solve business problems. We will have SAS enabled data science lab powered by high speed Internet, Big Data ecosystem, and cloud computing. SAS certified trainers and professionals will conduct regular and lab sessions alongside expert faculty members.
What will be the scope for BDA program graduates in the industry?
Graduates will have an edge as we have designed the BDA program keeping in mind the management and technology aspects of Big Data ecosystem. They will be in a position to take on varied industry roles. Organizations will see them as value additions in these evolving times. The program will also prepare them to chart their way to leadership roles in future.
Posted on 09th March 2018