By Russell Jurney
Mining significant facts calls for a deep funding in humans and time. how are you going to make certain you’re development definitely the right versions? With this hands-on ebook, you’ll study a versatile toolset and method for development potent analytics functions with Hadoop.
utilizing light-weight instruments corresponding to Python, Apache Pig, and the D3.js library, your workforce will create an agile surroundings for exploring info, beginning with an instance program to mine your individual e-mail inboxes. You’ll examine an iterative procedure that permits you to quick switch the type of research you’re doing, looking on what the knowledge is telling you. All instance code during this e-book is offered as operating Heroku apps.
• Create analytics purposes through the use of the agile substantial facts improvement technique
• construct worth out of your info in a chain of agile sprints, utilizing the data-value stack
• achieve perception through the use of a number of facts buildings to extract a number of beneficial properties from a unmarried dataset
• Visualize facts with charts, and disclose diverse facets via interactive stories
• Use old information to foretell the long run, and translate predictions into motion
• Get suggestions from clients after each one dash to maintain your venture on the right track
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Agile Data Science: Building Data Analytics Applications with Hadoop by Russell Jurney