All training courses take place 9:00 - 17:00, Tuesday and Wednesday. In order to maintain a high level of hands-on learning and instructor interaction, each training is limited in size.
Participants should plan to attend both days of this 2-day training. Training passes do not include access to tutorials on Wednesday.
This course is intended for two audiences: advanced analysts without distributed computing skills and engineers proficient in distributed computing without advanced analytical skills. Students should be comfortable with the Linux command line and have proficiency in a scripting language; Python is strongly preferred, but familiarity with Perl or Ruby is sufficient.
As an attendee of the session, you don’t have to prepare anything in advance. You will get access to all documents and software during the first morning. The training will be a lecture with demos, but attendees will be able to repeat all exercises themselves with the provided material.
Data scientists build information platforms to provide deep insight and answer previously unimaginable questions. Spark and Hadoop are transforming how data scientists work by allowing interactive and iterative data analysis at scale. Learn how Spark and Hadoop enable data scientists to help companies reduce costs, increase profits, improve products, retain customers, and identify new opportunities.
Kai Voigt explores what data scientists do, the problems they solve, and the tools and techniques they use. Through in-class simulations and exercises, Kai walks attendees through applying data science methods to real-world challenges in different industries, offering preparation for and experience of data scientist roles in the field.
Kai Voigt is a senior instructor for Hadoop classes at Cloudera, delivering training classes for developers and administrators worldwide. Kai held the same role at MySQL, Sun, and Oracle. He has spoken at a number of O’Reilly conferences.
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