Apache Spark 2.0 with Scala – Hands On with Big Data! – Free Udemy Courses


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Created by means of Sundog Training by means of Frank Kane, Frank Kane

What Will I Be told?

  • Body giant knowledge research issues as Apache Spark scripts
  • Broaden dispensed code the use of the Scala programming language
  • Optimize Spark jobs thru partitioning, caching, and different ways
  • Construct, deploy, and run Spark scripts on Hadoop clusters
  • Procedure persistent streams of information with Spark Streaming
  • Grow to be structured knowledge the use of SparkSQL and DataFrames
  • Traverse and analyze graph buildings the use of GraphX


  • Some prior programming or scripting enjoy is needed. A crash route in Scala is integrated, however you want to understand the basics of programming to be able to select it up.
  • You are going to desire a desktop PC and an Web connection. The route is created with Home windows in thoughts, however customers relaxed with MacOS or Linux can use the similar equipment.
  • The tool wanted for this route is freely to be had, and I’ll stroll you thru downloading and putting in it.


New! Up to date for Spark 2.0.0.

“Big data” research is a scorching and extremely precious talent – and this route will educate you the freshest era in giant knowledge: Apache Spark. Employers together with AmazonEBayNASA JPL, and Yahoo all use Spark to temporarily extract which means from large knowledge units throughout a fault-tolerant Hadoop cluster. You’ll be told those self same ways, the use of your individual Home windows device proper at house. It’s more uncomplicated than you could suppose, and also you’ll be studying from an ex-engineer and senior supervisor from Amazon and IMDb.

Spark works very best when the use of the Scala programming language, and this route features a crash-route in Scala to get you on top of things temporarily. For the ones extra acquainted with Python then again, a Python model of this magnificence may be to be had: “Taming Big Data with Apache Spark and Python – Hands On”.

Be told and grasp the artwork of framing knowledge research issues as Spark issues thru over 20 arms-on examples, after which scale them as much as run on cloud computing products and services on this route.

  • Be told the ideas of Spark’s Resilient Disbursed Datastores
  • Get a crash route within the Scala programming language
  • Broaden and run Spark jobs temporarily the use of Scala
  • Translate complicated research issues into iterative or multi-degree Spark scripts
  • Scale as much as greater knowledge units the use of Amazon’s Elastic MapReduce carrier
  • Know how Hadoop YARN distributes Spark throughout computing clusters
  • Apply the use of different Spark applied sciences, like Spark SQL, DataFrames, DataSets, Spark Streaming, and GraphX

Via the top of this route, you’ll be operating code that analyzes gigabytes value of knowledge – within the cloud – in an issue of mins.

We’ll have some a laugh alongside the best way. You’ll get warmed up with some easy examples of the use of Spark to investigate film rankings knowledge and textual content in a guide. When you’ve were given the fundamentals beneath your belt, we’ll transfer to a few extra complicated and fascinating duties. We’ll use one million film rankings to search out films which can be very similar to each and every different, and you could even uncover some new films you could like within the procedure! We’ll analyze a social graph of superheroes, and be told who probably the most “popular” superhero is – and increase a device to search out “degrees of separation” between superheroes. Are all Wonder superheroes inside a couple of levels of being hooked up to SpiderMan? You’ll uncover the answer.

This route could be very arms-on; you’ll spend maximum of your time following alongside with the teacher as we write, analyze, and run actual code in combination – each by yourself device, and within the cloud the use of Amazon’s Elastic MapReduce carrier. 7.5 hours of video content material is integrated, with over 20 actual examples of accelerating complexity you’ll construct, run and learn about your self. Transfer thru them at your individual tempo, by yourself time table. The route wraps up with an summary of alternative Spark-based applied sciences, together with Spark SQL, Spark Streaming, and GraphX.

Benefit from the route!

Who’s the objective target market?

  • Instrument engineers who wish to make bigger their abilities into the arena of huge knowledge processing on a cluster
  • If you haven’t any earlier programming or scripting enjoy, you’ll wish to take an introductory programming route first.

Size: 2.39G


Content material retrieved from: https://www.udemy.com/apache-spark-with-scala-hands-on-with-big-data/.

One Comment

  1. mmm March 18, 2018 Reply

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