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- 86% Apache Spark with Scala – Hands On with Big Data!

Apache Spark with Scala – Hands On with Big Data!

$94.99 $12.99Track price

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8.6/10 (Our Score)
Product is rated as #19 in category Big Data

New! Completely updated and re–recorded for Spark 3, IntelliJ, Structured Streaming, and a stronger focus on the DataSet API.

Big data analysis is a hot and highly valuable skill and this course will teach you the hottest technology in big data: Apache Spark. Employers including AmazonEBayNASA JPL, and Yahoo all use Spark to quickly extract meaning from massive data sets across a fault–tolerant Hadoop cluster. You’ll learn those same techniques, using your own Windows system right at home. It’s easier than you might think, and you’ll be learning from an ex–engineer and senior manager from Amazon and IMDb.

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.

Learn the concepts of Spark’s Resilient Distributed Datasets, DataFrames, and Datasets.

Get a crash course in the Scala programming language

Instructor Details

Sundog Education's mission is to make highly valuable career skills in big data, data science, and machine learning accessible to everyone in the world. Our consortium of expert instructors shares our knowledge in these emerging fields with you, at prices anyone can afford. Sundog Education is led by Frank Kane and owned by Frank's company, Sundog Software LLC. Frank spent 9 years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers, all the time. Frank holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own successful company, Sundog Software, which focuses on virtual reality environment technology, and teaching others about big data analysis. Due to our volume of students we are unable to respond to private messages; please post your questions within the Q&A of your course. Thanks for understanding.

Specification: Apache Spark with Scala – Hands On with Big Data!

Duration 9 hours
Year 2020
Level All
Certificate Yes
Quizzes Yes

33 reviews for Apache Spark with Scala – Hands On with Big Data!

4.2 out of 5
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  1. Avatar

    Sunil Bajaj

    A very good explanation of how the setup needs to be done. I hope that as new versions come up the course content is also upgraded.

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  2. Avatar

    Matthew Castaneda

    This guy is awsome

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  3. Avatar

    Christine Gwaze

    Clear installation process was given

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  4. Avatar

    Jyothi Vadde

    It was a good course to learn Scala with examples

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  5. Avatar

    Javier Flores

    I have a mac and was hard to add the jars in eclipse…even many people have been asking this question and many mentioned will be a good idea making a guide for mac in this step but what bothers me is there’s no guide and some comments are 1 year ago

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  6. Avatar

    Jose Eduardo Thurler Tecles

    In my experience, this course is very clear and to the point. Excellent!

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  7. Avatar

    Amit Kumar Kabra

    nice one

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  8. Avatar

    Phani Sai

    Very interesting and informative sessions

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  9. Avatar

    Syed Ali Raza Tirmizi

    Very good and precise. The instructor is pretty good and anticipates the questions that might be arising

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  10. Avatar

    Sivanandam Venkatasamy

    It was very detailed and step by step instructions.. Thanks

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  11. Avatar

    Arunachalam

    Excellent trainer

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  12. Avatar

    Andr a Longarini

    did tico e direto

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  13. Avatar

    Marcio de Lima

    I really enjoyed the training, very didactic and practical. Congratulations.

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  14. Avatar

    Marcelo Gouveia

    Clear and direct! Clear and simple examples.

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  15. Avatar

    Ahmed Hammam

    Yes

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  16. Avatar

    Mahitha T U

    As a newbie to Spark, this course gave me immense knowledge.A great starting point for anyone who wishes to dive into the world of Spark. Examples are great. By trying out the exercises the instructor suggested helped me to understand more.

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  17. Avatar

    Pedro nieto

    Awesome explanation!

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  18. Avatar

    Sebastian Komposch

    The course reselmbles aroud a topic I have in an uni course and in another practical course. This is the first course, where I feel this is not a simple cash grab, but the lecturer knows what he is talking about and is confident in explaining what he knows.

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  19. Avatar

    Rahul Pathak

    Explanation was very good and pace was excellent. Video quality was poor and it gets blurred every now and then loosing focus on contents.

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  20. Avatar

    Vinu Prabhu Raghavan

    It was good entry course for me , able to learn a overall outline..,

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  21. Avatar

    Jean Yves BAYINGANA

    this course is all about what i wanted from spark and big data in general, tkx to instructor Frank Kane

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  22. Avatar

    Michael Ono

    Curious to know if most data scientists are now using Databricks instead of the eclipse.

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  23. Avatar

    Sneh Smriti

    perfect teacher

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  24. Avatar

    Richard Lott

    This course was a great introduction to both Scala and Spark, and has left me wanting more. The example code and explanations were great, and I have learned a lot. I haven’t given 5 stars because, it does feel that there could have been more hands on; Instead of simply running what has been provided, I feel there could have been more of a challenge in terms of writing new code, with a follow up to see how you did. Maybe also quizzes to test knowledge retention. Also, as others have said, it would be good to ensure the course is fully up to date. There are some areas that perhaps don’t fully represent the latest version. These points aside the course is still great, and I would fully recommend it as an introduction to Scala and Spark.

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  25. Avatar

    Vivekanandh Nakkiran

    Best course for Spark/Scala I have ever took. I tried with many other courses and but this is the best. Finally I learnt Spark/Scala coding.

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  26. Avatar

    Richard Raphita

    So far the course help me to understand the topic

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  27. Avatar

    Ramil Kaliyev

    If you are already familiar with Frank’s teaching manner you know how it is going. If not you will like it! As for course, yes, it is hands on, and the sections are covered with interesting solutions. If are were you, I’d go to check it. Thank you, Frank.

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  28. Avatar

    Srikanth Danda

    Very detailed and precise instructions. Worked like a charm the first time itself

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  29. Avatar

    Sri Ram

    the instructor is amazing!!Thank u!!exceeded expectations

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  30. Avatar

    Asl Emine Ertugrul

    Hocan n bilgisi geni fakat retme y ntemi biraz farkl . Kodlar n m ze haz r d rmektense hepsini tek tek beraber yazsayd k daha iyi bir renme s reci olabilirdi.

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  31. Avatar

    Anand Venkatraman

    Could have focused more on Spark 2 stuff initially, given that RDD is becoming more of legacy.

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  32. Avatar

    Xiao Yuan

    The mac version spark installation does not work for me.

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  33. Avatar

    Fernando Raposo da Camara Silva

    Better instructions about installing on Linux would be better. How about providing a Virtual Machine with everything all set for this course?

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    Apache Spark with Scala – Hands On with Big Data!
    Apache Spark with Scala – Hands On with Big Data!

    $94.99 $12.99

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