Agile Data Science: Building Data Analytics Applications by Russell Jurney


By Russell Jurney

Mining large info calls for a deep funding in humans and time. how are you going to make certain you’re construction the precise types? With this hands-on e-book, you’ll study a versatile toolset and technique for construction powerful analytics purposes with Hadoop.

utilizing light-weight instruments reminiscent of Python, Apache Pig, and the D3.js library, your crew will create an agile surroundings for exploring facts, beginning with an instance program to mine your personal e-mail inboxes. You’ll examine an iterative strategy that allows you to speedy switch the type of research you’re doing, looking on what the knowledge is telling you. All instance code during this publication is on the market as operating Heroku apps.
• Create analytics purposes by utilizing the agile colossal information improvement technique
• construct worth out of your information in a sequence of agile sprints, utilizing the data-value stack
• achieve perception by utilizing numerous information constructions to extract a number of positive aspects from a unmarried dataset
• Visualize info with charts, and reveal diversified features via interactive experiences
• Use old facts to foretell the long run, and translate predictions into motion
• Get suggestions from clients after each one dash to maintain your venture on target

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