Advanced Spark for Data Science and Data Engineering

Advanced Spark for Data Science and Data Engineering

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Course
en
English
This content is rated 4.5 out of 5
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  • From www.edx.org
More info
  • 4 Sequences
  • Introductive Level
  • Starts on November 14, 2016
  • Ends on October 31, 2016

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Course details

Syllabus

  • Common use cases for Spark
  • Details of internals like the shuffle, Spark SQL’s Catalyst Optimizer, and Project Tungsten
  • A deep architectural overview
  • Spark Streaming
  • Spark ML

Prerequisite

None.

Instructors

  • Anthony D. Joseph
  • Jon Bates

Editor

The University of California, Berkeley was chartered in 1868, and its flagship campus — envisioned as a "City of Learning" — was established at Berkeley, on San Francisco Bay. Berkeley faculty consists of 1,582 full-time and 500 part-time faculty members dispersed among more than 130 academic departments and more than 80 interdisciplinary research units. Berkeley alumni have received 28 Nobel prizes, and there are eight Nobel Laureates, 32 MacArthur Fellows, and four Pulitzer Prize winners among the current faculty.

In September 2012, to mark Berkeley's commitment to innovation in teaching and learning, The Berkeley Resource Center for Online Education (BRCOE) was formed. The Center is a resource hub and an operational catalyst for all internal campus-wide and external resources to advise, coordinate, and facilitate the University’s online education initiatives, ranging from credit and non-credit courses, to online degree programs and MOOC projects, including the MOOCLab initiative.

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