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學生對 洛桑联邦理工学院 提供的 Big Data Analysis with Scala and Spark 的評價和反饋

2,568 個評分


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. Learning Outcomes. By the end of this course you will be able to: - read data from persistent storage and load it into Apache Spark, - manipulate data with Spark and Scala, - express algorithms for data analysis in a functional style, - recognize how to avoid shuffles and recomputation in Spark, Recommended background: You should have at least one year programming experience. Proficiency with Java or C# is ideal, but experience with other languages such as C/C++, Python, Javascript or Ruby is also sufficient. You should have some familiarity using the command line. This course is intended to be taken after Parallel Programming:




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!


51 - Big Data Analysis with Scala and Spark 的 75 個評論(共 508 個)

創建者 Abhishek K


The course has a great content. The assignments are a bit tough for beginners but if you keep on trying, you will get some great insights of the technology. Also has the best and unique use case scenarios which keep questioning your knowledge.

創建者 Dario G


Lovely presentation of Apache Spark fundamentals using Scala. I believe that this course gives you enough background to do just about anything you want (as long as you have some familiar with Scala and SQL, and are willing to dig deeper).

創建者 ravisekhar_g


This is the best content among the tutorials I've seen in Spark, the Prof. Heather maintains perfect balance between internals of spark and general usage. The examples given and assignments are realistic when compared word count problems.

創建者 Dennis L


Thank the teacher, the course is very good, the teacher is also very nice. The first three weeks of feeling learned a lot of new knowledge, the last week may be each class time is relatively long. It would be better if you could split it.

創建者 Bora K


Teacher has excellent teaching skills. She takes enough time to go through to concepts. Before introducing a new technique she teaches why the new technique is needed and explains how it solves existing problems. Absolutely great course.

創建者 許致軒


Very Very Interesting and helpful!

The slides' layout is very clear and step by step for each important topic.

The motivation of why we need dataframe and dataset and what's their difference is explained with a logical and reasonable way!

創建者 Raduś N


Awesome teacher - very engaging. This is probably first time when I am watching lectures with pleasure. Also you can easily feel that course is fresh and specially made for this unlike previous ones from Scala speciality.

創建者 Heyang W


A walk through from the oldest RDD to newest Dataset API of spark, together with brief introduction on how spark work. Home work set up several scenario to use the different kinds of spark API to do basic data analysis.

創建者 Mike D


Great introduction course to Spark with excellent materials and hand-on programming assignments. Thanks for taking effort to get this class online. I have enjoyed it very much.

Kudos to Professor Miller, we love you :-)

創建者 Jayaprakash J


Great Material and lecture videos. It covered important concepts we need to know about Spark and helped me to learn further. Assignments were on real datasets and helped me to explore different APIs if Spark and Scala.

創建者 Heitor M G


I really enjoyed the course, specially the first 3 weeks. Week 4 videos could be split in more videos, it felt as if they were not reviewed as much as the other weeks videos. Anyway, the whole course is really good.

創建者 Peter T


Enjoyed the course and learnt lots. Stimulating material. Though I feel that the week 4 material could be made more concise. On the whole would recommend to other interested and it will definitely help in my career.

創建者 Eric L


Demystified the subject for me. I felt like the lecturer covered a considerable amount of material in relatively short time. The assignments helped to cement the knowledge acquired over the duration of the course.

創建者 Angel A


love this topic!!!! New and frontier technology in NLP. More and more concentrations and analysis on this big data research.

I wish more courses about Parallel clustering using Spark available to the many.

創建者 PatrickEifler


I really enjoyed the course. It is very comprehensive and exhaustive. It covers a lot of details on Spark and all its APIs and looks under the hood. I recommend to anyone who really wants to learn Spark.

創建者 Oleksandr M


This course gives basics of distributed computing by practical examples, several alternative approaches to the same problem are considered, this gives more insight and flexibility. Very interesting one!

創建者 Darcio L


Excellent and broad view of Spark and its design foundations. Besides the formal knowledge of Spark, it could change my perspective about how Scala and Akka had a crucial role in the Spark architecture.

創建者 Bill P


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.

創建者 Jose R


I’m really happy with this 4-weeks experience. I’ve learnt a lot of Spark’s internals and different ways of resolving problems taking in account performance and optimisation details.

Great course!

創建者 Natalia G


goot as introduction about spark and big data.

Small notice: it is incorrect to compare performance hadoop and spark. As I understand, spark was expected to be compacred with MapReduce.

創建者 William D


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!

創建者 pratik


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.

創建者 Enrique M B


I had previous experience with Scala and Spark and I really enjoyed the course.

I learned some very interesting things, specially y de last 2 weeks about partitioning and Spark SQL.

創建者 Nikola M


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.

創建者 Santiago A


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.