Manipulating big data distributed over a cluster using functional concepts is rampant in industry, and is arguably one of the first widespread industrial uses of functional ideas. This is evidenced by the popularity of MapReduce and Hadoop, and most recently Apache Spark, a fast, in-memory distributed collections framework written in Scala. In this course, we'll see how the data parallel paradigm can be extended to the distributed case, using Spark throughout. We'll cover Spark's programming model in detail, being careful to understand how and when it differs from familiar programming models, like shared-memory parallel collections or sequential Scala collections. Through hands-on examples in Spark and Scala, we'll learn when important issues related to distribution like latency and network communication should be considered and how they can be addressed effectively for improved performance.
About this Course
Learner Career Outcomes
Approx. 15 hours to complete
Learner Career Outcomes
Approx. 15 hours to complete
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TOP REVIEWS FROM BIG DATA ANALYSIS WITH SCALA AND SPARK
Excellent overview of Spark, including exercises that solidify what you learn during the lectures. The development environment setup tutorials were also very helpful, as I had not yet worked with sbt.
The sessions where clearly explained and focused. Some of the exercises contained slightly confusing hints and information, but I'm sure those mistakes will be ironed out in future iterations. Thanks!
Great introduction to spark. Fun assignments. Since it was the first ever session, there were quite a few kinks with the assignments. But the discussion forums rescued me any time I was stuck.
Very Nice and effective course. One of the best course i have done on Spark online. Many Thanks to the course instructor Heather Miller for creating a very detail and updated course on Spark.
goot as introduction about spark and big data.\n\nSmall notice: it is incorrect to compare performance hadoop and spark. As I understand, spark was expected to be compacred with MapReduce.
Good overview of the subject, covering all important aspects. Assignments were well prepared, with a couple of unclear points that were quickly discovered and explained on the forums.
The course starts from the basic concepts and moves towards the complex concepts. The most important thing is that minute details are taken into consideration and explained properly.
Excellent course! It's clear the instructor put a ton of thought and hard work into this. I learned a lot that I wouldn't have learned without taking this class. Thank you, Heather!
Awesome course and awesome teacher! Nevertheless, to grasp the most of this course, you should do the previous 3 courses of the "Functional Programming in Scala" specialization.
Excellent material. Very good flow. Heather has an amazing way of walking through the flow and simplifying the concepts. Great assignments -- takes a bit longer than 3 hours.
The exercises were below the standard of previous courses. Also the instructions on exercises could have been better. Lost a lot of time figuring out as a new bee in Spark.
the theory is very clear and well explained.\n\nthe practical assignments are a little bit ambiguous but they are overall very good and challenging.\n\nhighly recommended!
Great course about Big Data analysis\n\nIt was my first exposure to Big Data frameworks and I learned a lot about the problems trying to be solved and the power of Spark.
Great course with nice explanations of some Spark concepts. The third week was particularly useful for my understanding of Spark shuffling and partitioning. Thanks a lot!
Great introduction to Spark and it's data structures. The course is easy to follow, and lecturer is entertaining and really engaged.\n\nThanks, I really had fun !
although spark part is taught nicely, it also takes a lot of time to understand the sql part and remember a lot of sql operations as a zero background man in sql
It was really useful material. It would be really nice if there are more assignments to polish the materials we learn, but I am really satisfied with the course.
Great course to get going with Apache Spark. Would recommend to someone who has java or scala experience already and wants to learn about distributed processing.
Great course, I learned a lot through the course. However, some of the lectures are quite long and could do with being broken down in to more smaller segments.
I worked with PySpark professionally, and this helped add some depth to my knowledge of Spark as well as give me a chance to translate those skills to Scala.
About the Functional Programming in Scala Specialization
Frequently Asked Questions
When will I have access to the lectures and assignments?
Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
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