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Mastering Spark for Structured Streaming [Online Code]


Mastering Spark for Structured Streaming [Online Code] by O'Reilly Media at ITHKS. Hurry! Limited time offer. Offer valid only while supplies last. Number of Videos: 2 hours - 34 lessonsAuthor:Tianhui Michael LiUser Level: BeginnerSpark is one of today’s most popular distributed computation


Product Description

Number of Videos: 2 hours - 34 lessons
Author:Tianhui Michael Li
User Level: Beginner

Spark is one of today’s most popular distributed computation engines for processing and analyzing big data. This course provides data engineers, data scientist and data analysts interested in exploring the technology of data streaming with practical experience in using Spark. You’ll learn about the Spark Structured Streaming API, the powerful Catalyst query optimizer, the Tungsten execution engine, and more in this hands-on course where you’ll build small several applications that leverage all the aspects of Spark 2.0. While not a requirement, the course works best for those with some Scala experience.

  • Understand the main features of Spark and its advantages over existing systems
  • Learn the basics of parallelism, streaming computation, and Spark streaming
  • Explore the distinctions between Spark Structured Streaming and legacy DStream APIs
  • Understand how to write to and use the Spark Structured Streaming API
  • Learn about the new Catalyst query optimizer and the Tungsten execution engine
  • Discover how Scala and Spark Structured Streaming simplify distributed streaming tasks
  • Gain hands-on experience building applications using Spark 2.0

Michael Li is the founder of The Data Incubator, which provides big data corporate training and a selective eight-week fellowship for PhDs transitioning into industry. Previously, he worked as a data scientist, software engineer, and researcher at Foursquare, Google, Andreessen Horowitz, J.P. Morgan, and NASA. He is a regular contributor to VentureBeat, The Next Web, and Harvard Business Review. Michael earned his Ph.D. at Princeton and was a Marshall Scholar in Cambridge.


PC Minimum System Requirements:PC Recommended System Requirements:
  • Processor:   Any
  • RAM:   Any
  • Hard Disk:   1GB
  • Video Card:   Any
  • Supported OS:   Windows 10, Windows 8.1, Windows 8, Windows 7, Windows Vista, Windows XP, Windows 2000, Windows

    Features & Highlights

    • Learn Mastering Spark for Structured Streaming from a professional trainer on your own time at your own desk.
    • This visual training method offers users increased retention and accelerated learning.
    • Breaks even the most complex applications down into simplistic steps

    Additional Information

    Brand:O'Reilly Media

    Mastering Spark for Structured Streaming [Online Code] by O'Reilly Media

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    Mastering Spark for Structured Streaming [Online Code]

    Brand: O'Reilly Media
    Condition: New
    Lead Time: 1 - 2 Business Days
    Availability: In Stock
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