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About the author

Marc Wintjen is a risk analytics architect at Bloomberg L.P. with over 20 years of professional experience. An evangelist for data literacy, he's known as the data mensch for helping others make data-driven decisions. His passion for all things data has evolved from SQL and data warehousing to big data analytics and data visualization.

I want to thank the many people who have supported me throughout my career. My inspiration comes from my colleagues, with whom I have shared long hours spent solving complex problems and gaining some wisdom along the way (hopefully). Also, this would not have been possible without the support of my family's love and sacrifice. To my wife, Debra, my daughter, Rebecca, and my son, Seth – thank you! To my parents and extended family, thank you!

About the reviewers

Juan Jose Morales Urrutia has a Masters's degree in computer science from Georgia Tech. He is currently a senior software engineer at Bloomberg LP. Juan Jose is passionate about all things related to data. He enjoys designing data warehouses on the cloud, implementing scalable data pipelines, and building advanced analytics solutions using machine learning. Needless to say, he thinks this book will give you a fantastic introduction to the wonderful world of data.

Khaled Tannir has a Master of Research and a Master of Computer Science degree. He has more than 25 years of technical experience as a big data architect. He leads IT projects in multiple industries, such as banking, finance, and insurance. Creative and forward-thinking, and author of two books, he has focused for 10 years on big data, data mining, and machine learning. With significant experience in big data technologies, Khaled has implemented many Proofs of Concept that need different skills. Khaled is a big data trainer and mentor. He is the instructor of the Data at Scale module at McGill University (Montréal, Canada). He is the founder of dataXper, a company that focuses on delivering high-quality big data consulting and training services.

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