Denny Lee is a technology evangelist at Databricks. He is a hands-on data science engineer with 15+ years of experience. His key focuses are solving complex large-scale data problems—providing not only architectural direction but hands-on implementation of such systems. He has extensive experience of building greenfield teams as well as being a turnaround/change catalyst. Prior to joining Databricks, he was a senior director of data science engineering at Concur and was part of the incubation team that built Hadoop on Windows and Azure (currently known as HDInsight).

Tomasz Drabas is a data scientist specializing in data mining, deep learning, machine learning, choice modeling, natural language processing, and operations research. He is the author of Learning PySpark and Practical Data Analysis Cookbook. He has a PhD from University of New South Wales, School of Aviation. His research areas are machine learning and choice modeling for airline revenue management.

Sridhar Alla is a big data practitioner helping companies solve complex problems in distributed computing and implement large-scale data science and analytics practice. He presents regularly at several prestigious conferences and provides training and consulting to companies.  He loves writing code in Python, Scala, and Java. He has extensive hands-on knowledge of several Hadoop-based technologies, Spark, machine learning, deep learning and blockchain.

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