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學生對 华盛顿大学 提供的 大规模数据处理:系统与算法 的評價和反饋

4.3
748 個評分
162 條評論

課程概述

Data analysis has replaced data acquisition as the bottleneck to evidence-based decision making --- we are drowning in it. Extracting knowledge from large, heterogeneous, and noisy datasets requires not only powerful computing resources, but the programming abstractions to use them effectively. The abstractions that emerged in the last decade blend ideas from parallel databases, distributed systems, and programming languages to create a new class of scalable data analytics platforms that form the foundation for data science at realistic scales. In this course, you will learn the landscape of relevant systems, the principles on which they rely, their tradeoffs, and how to evaluate their utility against your requirements. You will learn how practical systems were derived from the frontier of research in computer science and what systems are coming on the horizon. Cloud computing, SQL and NoSQL databases, MapReduce and the ecosystem it spawned, Spark and its contemporaries, and specialized systems for graphs and arrays will be covered. You will also learn the history and context of data science, the skills, challenges, and methodologies the term implies, and how to structure a data science project. At the end of this course, you will be able to: Learning Goals: 1. Describe common patterns, challenges, and approaches associated with data science projects, and what makes them different from projects in related fields. 2. Identify and use the programming models associated with scalable data manipulation, including relational algebra, mapreduce, and other data flow models. 3. Use database technology adapted for large-scale analytics, including the concepts driving parallel databases, parallel query processing, and in-database analytics 4. Evaluate key-value stores and NoSQL systems, describe their tradeoffs with comparable systems, the details of important examples in the space, and future trends. 5. “Think” in MapReduce to effectively write algorithms for systems including Hadoop and Spark. You will understand their limitations, design details, their relationship to databases, and their associated ecosystem of algorithms, extensions, and languages. write programs in Spark 6. Describe the landscape of specialized Big Data systems for graphs, arrays, and streams...

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HA
2016年1月10日

Great course that strikes a balance between teaching general principles and concepts, and providing hands-on technical skills and practice.\n\nThe lessons are well designed and clearly conveyed.

WL
2016年5月27日

I like the breadth of coverage of this class. Each of the exercise is a gem in that I get to learn something new also. I would highly recommend this even to experience practitioner also.

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76 - 大规模数据处理:系统与算法 的 100 個評論(共 158 個)

創建者 Jan Z

2016年11月21日

The course was very good - especially the map-reduce part I found very well explained and inspirational. The problem sets were thought-provoking and really taught me a lot.

Two things that could be improved:

1) The problem sets are really nice (again, map-reduce is the best one), but there are quite a few errors in the description, a lot of information is dated (e.g. in ps.1 the twitter link is old), and working with the grader can be very clumsy. See Machine Learning by Andrew Ng to see how to design perfect, easy to operate and submit problem sets. Perhaps work with PyCharm creators?

2) The second to last part was a bit lacking - it was basically skimming though all different types of databases, which didn't make me feel like I really acquired any skill. Because of how little time was spent on each database type and there were so many, I don't really remember much of it now (hardly anything to be honest).

創建者 Dylan T

2017年5月6日

The course is interesting and well made. Compared the the other two, I found the first assignment quite difficult and required quite a bit of time to complete. Introducing SQL through relational algebra seemed relevant to me, and made the formulation of SQL queries very natural. The section about map reduce may appear difficult to process first but as the student has to go through (and beyond in one case) the examples presented in the course. In the end, I found the assignment very useful in putting thing in place. I received full grade but still have to go through week 4, maybe a small quiz in the end to test our understanding of the different concept would have been handy.

創建者 Dany M

2017年8月21日

There are times where a user without a very fast connection will struggle to set up, the virtual machine is impossible to get for them. Between the internet and the forum the needed information is there but it makes the first assignment take 15+ hours. A little help on the assignment page on how to get going on Windows would save a lot of people some time.

Apart from this ist is quite good. The automatic grading is amazing and the videos quite nice.

創建者 Hao-En S

2015年11月14日

Excellent course content and lecture, however, the homework design is not so friendly for students.

First, instructions are not clear. I spent a lot of time in figuring out the real meaning behind each problem. Second, the judge system is not so rigorous. Though trying best on homework and not playing tricks are students' responsibility, the judge system is just too weak to survive those hackings.

Thank you all for your efforts.

創建者 Kenneth H M N

2017年5月15日

Overall a good course, with teachings bit into very manageable lengths of time. My biggest grievance is that your submission has to be in encoded in a particular format (utf-8) if memory serves. So you may have to resave your .txt files if you try to do all the programming on a windows laptop. This may be obvious to some, but it took me a little to figure out.

創建者 Aayush M

2015年10月28日

I feel that there should be more assignments to make the course interesting. The last part just briefly explained about different database types but it also focused two lectures on Pig. There could be an assignment to make the lectures more meaningful or perhaps, a quiz. Otherwise, last week is too much information to grasp at once.

創建者 Kay S

2016年2月6日

There are some inconsistencies in the course or the arrangement of the videos, maybe due to technical problems.

For improvement I would really wish to have some substantial results, especially in the last week of the course. That is, I would prefer to discuss at least something in depth rather than everything broadly.

創建者 Christine H

2016年7月8日

This is a great introduction. I would give it a higher scoring but was frustrated with one of the labs have issues in the grader and even after completion of the course its not clear what was wrong: the instructions, the solution data set, the input data set. Other then that enjoyed the content.

創建者 Jim S

2017年8月10日

The theory and relational algebra is a little heavy for me (I am very much a practitioner). That said, Prof Howe is *excellent* in is presentation. Very clear and easy to follow. Sometimes beats a dead horse (Map Reduce) and as a result, you definitely know what he's getting after!

創建者 Andrew T

2015年12月2日

The lecturer is very, very knowledgable and seems to explain the landscape of topics both from a grand perspective and deep knowledge.

Though there are a wide variety of programming exercise,I would prefer some more in-depth assignments (as is usually the case with me and Coursera).

創建者 Annavajjala S P A S

2017年3月13日

The contents of the course were good enough. The assignments, though simple required some work in terms of understanding the kind of data that you are dealing with, which is important. Although, a lot of content has been covered, it was arranged in a logical manner.

創建者 Sreeparna M

2017年9月18日

The course is good. It definitely gives a broad overview of the topics. It's presented in an interesting manner and I would definitely go in-depth about these topics. Although, it would have been more helpful had there been more graded quizzes and assignments.

創建者 Maxime B

2016年3月1日

The power-point used has a lot of mistakes corrected live by the speaker.

The speaker speech is sometime slow and not precise, it probably has been recorded only once.

Apart from that the content covers the subject and the assignments are relevant and fun.

創建者 Joris D

2017年5月21日

The course gives a good introduction into handling large amounts of data, the problems it poses, and an overview of the available solutions. Towards the end of the course, it started to feel a bit less polished and more rushed, though

創建者 Fermin Q

2016年11月3日

It gives good information, but frankly covers way too many tools at the end, and the explanations are good but somewhat rushed. Some parts were a little boring, as no immediate practical use seemed on the horizon.

創建者 MICHEL S

2016年1月5日

Very broad and instructive course with a good level of theory, many practical examples. Good teaching.

Some nice assignments but a lake of assignement for the 4th week

I recommand this course

創建者 Anne-Marie D

2020年7月20日

Well structured and nice overview of data manipulation. But the assignments should really be updated in order to use python 3.x instead of 2.7, which is not maintained anymore...

創建者 Yu-Heng H

2018年11月25日

It's pretty tough in assignments especially when there are mistakes in the given description, but I do learn the basic concepts of relational algorithm and MapReduce from them.

創建者 Wesley E

2016年10月4日

Definitely need some background in R or Python and the lectures are a bit old. Seem to be from around 2013 when this first came out but most of the info is still relevant.

創建者 Sajit K

2016年1月11日

Its pretty decent. I liked the assignments. However there were some typos in the lecture slides and also the grader output is not very friendly.

創建者 Alari

2015年12月2日

Very good course, but lectures could be more tuned onto the home assignments. A lot of independent work for me at least. Teacher is very good.

創建者 Mandar B

2017年3月28日

Course gives you good overview on different important data science technologies. Hands on labs are important to get the grip on concepts.

創建者 Dmitry G

2016年1月2日

Last week of the course is too much information and without any assignments it kind of doesn't make much sense and it doesn't stick.

創建者 Tony G

2016年5月13日

covers a lot of ground quickly, but you still get a good understanding of the underlying theory or technologies

創建者 Timothy R

2017年6月22日

Very good introduction to relational algebra and map reduce. Also helped scratch up on some python and SQL.