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Practical Data Science with Hadoop and Spark

Practical Data Science with Hadoop and Spark

As adoption of Hadoop accelerates in the enterprise and beyond, there's soaring demand for those who can solve real-world problems by applying advanced data science techniques in Hadoop environments. Now, Practical Data Science with Hadoop and Spark provides a complete and up-to-date guide to data science with Hadoop: high-level concepts, deep-dive techniques, practical applications, hands-on tutorials, and real-world use cases. Drawing on their immense experience with Hadoop in enterprise Big Data environments, Ofer Mendelevitch, Casey Stella, and Douglas Eadline bring together all the practical knowledge you'll need to do real, useful data science with Hadoop.

Chapters and Articles

Learn how/why Microsoft Skype for Business Server 2015 is the go-to product for unified communications by exploring common business cases.

Dr. Vivek Utgikar presents the importance of computations and use of computational tools in chemical engineering.

Using the "pets and cattle" analogy, recognized sys admin experts explain how to improve your efficiency by minimizing variation.

Phillip C. Wankat discusses batch distillation, an important part of the production of seasonal, or low capacity and high-purity chemicals and is a very frequent separation process in the pharmaceutical industry.

Web architects Luke Welling and Laura Thomson provide a quick overview of PHP syntax and language constructs by working through lots of real-world examples taken from their experiences building real websites.

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