| About the Author | Denny Lee is a Staff Developer Advocate at Databricks. He is a hands-on distributed systems and data sciences engineer with extensive experience developing internet-scale infrastructure, data platforms, and predictive analytics systems for both on-premise and cloud environments. He also has a Masters of Biomedical Informatics from Oregon Health and Sciences University and has architected and implemented powerful data solutions for enterprise Healthcare customers. His current technical focuses include Distributed Systems, Apache Spark, Deep Learning, Machine Learning, and Genomics.Tristen Wentling works in machine learning, data engineering, and statistical analysis using Python, Apache Spark, and Scala. He is a machine learning advocate loves the flexibility of neural networks. Tristen holds an M.S. in Mathematics and B.S. in Applied Mathematics.Scott Haines is a Databricks Beacon and has been working with data systems and distributed systems and architectures for over 15 years. He recently wrote a book encapsulating his journey called Modern Data Engineering with Apache Spark: A Hands-on guide for building mission-critical streaming applications. He enjoys teaching people how to simplify data systems and data-intensive services and takes to the snow in the winter to pursue his love of snowboarding.Prashanth Babu is a Databricks Certified Developer who helps guide design and implementation of customer use cases by building out reference architectures, best practices, frameworks, MVP, and prototypes, which enables customers to succeed in turning their data into value. |
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