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Scalable programming with Scala and Spark (Udemy.com)

Use Scala and Spark for data analysis, machine learning and analytics

4.1
479 reviews

Created by: Loony Corn

Last updated August 2019

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What you will learn

  • Use Spark for a variety of analytics and Machine Learning tasks
  • Understand functional programming constructs in Scala
  • Implement complex algorithms like PageRank or Music Recommendations
  • Work with a variety of datasets from Airline delays to Twitter, Web graphs, Social networks and Product Ratings
  • Use all the different features and libraries of Spark : RDDs, Dataframes, Spark SQL, MLlib, Spark Streaming and GraphX
  • Write code in Scala REPL environments and build Scala applications with an IDE

How it compares

Against the other 34 rated Udemy courses in Scala on CourseDuck:

  • Rating4.1 out of 5higher than 32% of them
  • Reviews479#14 of 35 by number of reviews
  • Length9 hourslonger than 82% of them
  • Last updatedAugust 2019earlier than 70% of them

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Course Description

Taught bya 4 person team including 2Stanford-educated, ex-Googlers and 2 ex-Flipkart Lead Analysts. This team has decades of practical experience in working with Java and with billions of rows of data.

Get your data to fly using Spark and Scalafor analytics, machine learning and data science

Lets parse that.

What's Spark?
If you are an analyst or a data scientist, you'reused to having multiple systems for working with data. SQL, Python, R, Java, etc. With Spark, you have a single engine where you can explore and play with large amounts of data, run machine learning algorithms and then use the same system to productionize your code.

Scala:
Scala is a general purposeprogramming language - like Java or C++. It's functional programming nature and the availability of a REPLenvironment make it particularly suited for a distributed computing framework like Spark.

Analytics:
Using Spark and Scala you can analyze and explore your data in an interactive environment with fast feedback. The course will show how to leverage the power of RDDs and Dataframes to manipulate data with ease.

Machine Learning and Data Science:
Spark's core functionality and built-in libraries make it easy to implement complex algorithms like Recommendations with very few lines of code. We'll cover a variety of datasets and algorithms includingPageRank, MapReduceand Graph datasets.

What's Covered:

Scala Programming Constructs: Classes, Traits, First Class Functions, Closures, Currying, Case Classes

Lot's of cool stuff ..

Music Recommendations using Alternating Least Squares and the Audioscrobbler datasetDataframes and Spark SQL to work with Twitter dataUsingthe PageRank algorithm with Google web graph datasetUsing Spark Streaming for stream processingWorking with graph data using theMarvel Social network dataset

.. and of course all the Spark basic and advanced features:

Resilient Distributed Datasets, Transformations (map, filter, flatMap), Actions (reduce, aggregate)Pair RDDs , reduceByKey, combineByKeyBroadcast and Accumulator variablesSpark for MapReduceThe Java API for SparkSpark SQL, Spark Streaming, MLlib and GraphXWho this course is for:
Yep! Engineers who want to use a distributed computing engine for batch or stream processing or bothYep! Analysts who want to leverage Spark for analyzing interesting datasetsYep! Data Scientists who want a single engine for analyzing and modelling data as well as productionizing it.
Read More All Levels All Levels product length iconTime: 9h

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Instructor Details

Loony Corn

Loonycorn is us, Janani Ravi andVitthal Srinivasan. Between us, we have studied at Stanford, been admitted to IIM Ahmedabadand have spent years working in tech, in the Bay Area, New York, Singapore and Bangalore.
Janani: 7 years at Google (New York, Singapore); Studied at Stanford; also worked at Flipkart and Microsoft
Vitthal: Also Google (Singapore) and studied at Stanford; Flipkart, Credit Suisse and INSEAD too
We think we might have hit upon a neat way of teaching complicated tech courses in a funny, practical, engaging way, which is why we are so excited to be here on Udemy!

We hope you will try our offerings, and think you'll like them :-)

Read More

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Reviews

4.1

479 ratings on Udemy

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Write a review

By Santosh on 7/4/2020

So far impressive.. Useful stuff and i am liking it.

By Jeffrey A. Brown on 4/14/2020

Excellent course but dated. Would be great if they update it for current version of Spark!

By Kasaragadda Srinivasarao on 1/6/2020

No practical running of queries and very slow.

By Sahil Goel on 11/2/2019

Best course to underdstand spark

By Udeme Ekpo on 7/22/2019

Tutorial is geared towards Linux and MAC users

By Robert Brunet on 5/22/2019

Very interesting course on Apache Spark

By Jose Luis Muzikant on 5/12/2019

greatcourse

By William Schmidt on 4/18/2019

Yes, even though I've already taken other Scala and Spark courses, the authors offered an alternative approach to explaining some concepts (especially in the Scala primer section) which were very helpful.

By Shyam on 4/5/2019

The Author has deep understanding of the concepts. Explanations are very clear, Great course

By Bielo Lpez Lauber on 3/23/2019

Very good course, with clear explanations and excellent practical exercises.

By Krishna Patnaikuni on 2/27/2019

This course is great for absolute beginners. Adding a short course on Scala is like a cherry on top of the icing.
Can do better in providing the code for examples taken.
For eg, there isn't any code base provided for the Page Rank algorithm, though the algorithm itself was taught splendidly.
Adding in exercises, being a bit more interactive with the students would go a long way in this course being the best one out there. I love the way concepts have been explained and syllabus has been curated

By Przemek on 2/23/2019

So far, nothing's going on in the course (no exercises).

Showing 12 of 61 reviews

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Overall Score : 82 / 100

Scalable programming with Scala and Spark
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  • Video Duration: icon 9h
  • Price: $19.99
  • Provider: icon Udemy
  • Updated: icon August 2019
  • Level: All Levels All Levels
  • Language: icon English
  • Certificate: icon Yes
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