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| #1106947 in Books | 2016-01-28 | 2016-01-28 | Original language:English | PDF # 1 | 9.25 x.94 x7.50l, | File type: PDF | 416 pages||8 of 8 people found the following review helpful.| A practical approach to taming data science with Scala's functional paradigm|By adnan baloch|One of the hottest jobs these days is that of the data scientist. It makes sense given the explosion of data generated by the online activities of millions of internet users and collected by online businesses and social media websites. As the author of this book explains, data scientist|About the Author||Pascal Bugnion |Pascal Bugnion is a data engineer at the ASI, a consultancy offering bespoke data science services. Previously, he was the head of data engineering at SCL Elections. He holds a PhD in computational physics from Cambridge
Leverage the power of Scala with different tools to build scalable, robust data science applications
About This Book
A complete guide for scalable data science solutions, from data ingestion to data visualization
Deploy horizontally scalable data processing pipelines and take advantage of web frameworks to build engaging visualizations
Build functional, type-safe routines to interact with relational and NoSQL databases with th...
You easily download any file type for your device.Scala for Data Science | Pascal Bugnion. A good, fresh read, highly recommended.
