Download Learning PySpark By Tomasz Drabas, Denny Lee

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Learning PySpark By Tomasz Drabas, Denny Lee

Download Learning PySpark By Tomasz Drabas, Denny Lee

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Amazon Sales Rank: #583403 in Books
Published on: 2017-02-27
Released on: 2017-02-27
Original language: English
Dimensions: 9.25" h x .62" w x 7.50" l,
Binding: Paperback
274 pages

About the Author

Tomasz Drabas is a Data Scientist working for Microsoft and currently residing in the Seattle area. He has over 13 years of experience in data analytics and data science in numerous fields: advanced technology, airlines, telecommunications, finance, and consulting he gained while working on three continents: Europe, Australia, and North America. While in Australia, Tomasz has been working on his PhD in Operations Research with a focus on choice modeling and revenue management applications in the airline industry. At Microsoft, Tomasz works with big data on a daily basis, solving machine learning problems such as anomaly detection, churn prediction, and pattern recognition using Spark. Tomasz has also authored the Practical Data Analysis Cookbook published by Packt Publishing in 2016.

Denny Lee

Denny Lee is a Principal Program Manager at Microsoft for the Azure DocumentDB team Microsoft's blazing fast, planet-scale managed document store service. He is a hands-on distributed systems and data science engineer with more than 18 years of experience developing Internet-scale infrastructure, data platforms, and predictive analytics systems for both on-premise and cloud environments. He has extensive experience of building greenfield teams as well as turnaround/ change catalyst. Prior to joining the Azure DocumentDB team, Denny worked as a Technology Evangelist at Databricks; he has been working with Apache Spark since 0.5. He was also the Senior Director of Data Sciences Engineering at Concur, and was on the incubation team that built Microsoft's Hadoop on Windows and Azure service (currently known as HDInsight). Denny also has a Masters in Biomedical Informatics from Oregon Health and Sciences University and has architected and implemented powerful data solutions for enterprise healthcare customers for the last 15 years.

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