Sundog Education by Frank Kane
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 Amazon, EBay, NASA 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
Courses : 7
Specification: Apache Spark with Scala – Hands On with Big Data!
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33 reviews for Apache Spark with Scala – Hands On with Big Data!
Add a review
| Price | $12.99 |
|---|---|
| Provider | |
| Duration | 9 hours |
| Year | 2020 |
| Level | All |
| Language | English ... |
| Certificate | Yes |
| Quizzes | Yes |
$12.99
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.
Matthew Castaneda –
This guy is awsome
Christine Gwaze –
Clear installation process was given
Jyothi Vadde –
It was a good course to learn Scala with examples
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
Jose Eduardo Thurler Tecles –
In my experience, this course is very clear and to the point. Excellent!
Amit Kumar Kabra –
nice one
Phani Sai –
Very interesting and informative sessions
Syed Ali Raza Tirmizi –
Very good and precise. The instructor is pretty good and anticipates the questions that might be arising
Sivanandam Venkatasamy –
It was very detailed and step by step instructions.. Thanks
Arunachalam –
Excellent trainer
Andr a Longarini –
did tico e direto
Marcio de Lima –
I really enjoyed the training, very didactic and practical. Congratulations.
Marcelo Gouveia –
Clear and direct! Clear and simple examples.
Ahmed Hammam –
Yes
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.
Pedro nieto –
Awesome explanation!
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.
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.
Vinu Prabhu Raghavan –
It was good entry course for me , able to learn a overall outline..,
Jean Yves BAYINGANA –
this course is all about what i wanted from spark and big data in general, tkx to instructor Frank Kane
Michael Ono –
Curious to know if most data scientists are now using Databricks instead of the eclipse.
Sneh Smriti –
perfect teacher
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.
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.
Richard Raphita –
So far the course help me to understand the topic
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.
Srikanth Danda –
Very detailed and precise instructions. Worked like a charm the first time itself
Sri Ram –
the instructor is amazing!!Thank u!!exceeded expectations
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.
Anand Venkatraman –
Could have focused more on Spark 2 stuff initially, given that RDD is becoming more of legacy.
Xiao Yuan –
The mac version spark installation does not work for me.
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?