• Anytime
    Application Deadline
  • 2 days
    Duration
Dive right in with 20+ hands-on examples of analyzing large data sets with Apache Spark, on your desktop or on Hadoop with this Apache Spark 2 with Scala - Hands On with Big Data Course offered by Udemy!

About

What you'll learn at TheApache Spark 2 with Scala - Hands On with Big Data Course offered by Udemy?

  • Frame big data analysis problems as Apache Spark scripts
  • Develop distributed code using the Scala programming language
  • Optimize Spark jobs through partitioning, caching, and other techniques
  • Build, deploy, and run Spark scripts on Hadoop clusters
  • Process continual streams of data with Spark Streaming
  • Transform structured data using SparkSQL and DataFrames
  • Traverse and analyze graph structures using GraphX

Spark works best when using the Scala programming language, and this course includes a crash-course in Scala to get you up to speed quickly. For those more familiar with Python however, a Python version of this class is also available: "Taming Big Data with Apache Spark and Python - Hands On".

Learn and master the art of framing data analysis problems as Spark problems through over 20 hands-on examples, and then scale them up to run on cloud computing services in this course.

Detailed Programme Facts

  • Deadline and start date A student can apply at any time for this programme, there is no deadline.
  • Programme intensity Part-time
    • Average part-time duration 2 days
    • Part-time variant
      Flexible
    • Duration description
      7.5 hours on-demand video
  • Languages
    • English
  • Delivery mode
    Online
  • More information Go to the programme website

Programme Structure

Courses include:

  • Getting Started
  • Scala Crash Course
  • Spark Basics and Simple Examples
  • Advanced Examples of Spark Programs
  • Running Spark on a Cluster
  • SparkSQL, DataFrames, and DataSets
  • Machine Learning with MLLib
  • Intro to Spark Streaming
  • Intro to GraphX
  • You Made It! Where to Go from Here

Audience

  • Software engineers who want to expand their skills into the world of big data processing on a cluster
  • If you have no previous programming or scripting experience, you'll want to take an introductory programming course first.

English Language Requirements

This programme may require students to demonstrate proficiency in English.

Academic Requirements

  • Some prior programming or scripting experience is required. A crash course in Scala is included, but you need to know the fundamentals of programming in order to pick it up.
  • You will need a desktop PC and an Internet connection. The course is created with Windows in mind, but users comfortable with MacOS or Linux can use the same tools.
  • The software needed for this course is freely available, and I'll walk you through downloading and installing it.

Tuition Fee

  • International

    100 EUR/full
    Tuition Fee
    Based on the original amount of 100 EUR for the full programme and a duration of 2 days.
  • EU/EEA

    100 EUR/full
    Tuition Fee
    Based on the original amount of 100 EUR for the full programme and a duration of 2 days.
We've labeled the tuition fee that applies to you because we think you are from and prefer over other currencies.
Udemy continuously offers discounts up to 94% off with full lifetime access to the course. Check the discounts available by clicking "Visit Programme Website".

Funding

Check the programme website for information about funding options.

StudyPortals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

The Global Study Awards: get funded with up to £10,000 to study abroad

Together with the ISIC Association and British Council IELTS, Studyportals offers you the chance to receive up to £10000 to expand your horizon and study abroad. We want to ultimately encourage you to study abroad in order to experience and explore new countries, cultures and languages.