- Data Lake for Enterprises
- Tomcy John Pankaj Misra
- 608字
- 2021-07-02 22:46:49
About the Authors
Tomcy John lives in Dubai (United Arab Emirates), hailing from Kerala (India), and is an enterprise Java specialist with a degree in engineering (B Tech) and over 14 years of experience in several industries. He's currently working as principal architect at Emirates Group IT, in their core architecture team. Prior to this, he worked with Oracle Corporation and Ernst & Young. His main specialization is in building enterprise-grade applications and he acts as chief mentor and evangelist to facilitate incorporating new technologies as corporate standards in the organization. Outside of his work, Tomcy works very closely with young developers and engineers as mentors and speaks at various forums as a technical evangelist on many topics ranging from web and middleware all the way to various persistence stores. He writes on various topics in his blog and www.javacodebook.com.
First and foremost, I would like to thank my savior and lord, Jesus Christ, for giving me strength and courage to pursue this project. It was a dream come true.
I would like to dedicate this book to my father (Appachan), Late C.O.John, and my dearest mom (Ammachi), Leela John, for helping me reach where I am today. I would also like to take this opportunity to thank my dearest wife, Serene and our two lovely children, Neil (son) and Anaya (daughter), for all their support throughout this project and also for allowing me to pursue my dream and tolerating not being with them after my busy day job.
Pankaj Misra has been a technology evangelist, holding a bachelor’s degree in engineering, with over 16 years of experience across multiple business domains and technologies. He has been working with Emirates Group IT since 2015, and has worked with various other organizations in the past. He specializes in architecting and building multi-stack solutions and implementations. He has also been a speaker at technology forums in India and has built products with scale-out architecture that support high-volume, near-real-time data processing and near-real-time analytics.