Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud
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Welcome to the Cloud Computing Applications course, the second part of a two–course series designed to give you a comprehensive view on the world of Cloud Computing and Big Data! In this second course we continue Cloud Computing Applications by exploring how the Cloud opens up data analytics of huge volumes of data that are static or streamed at high velocity and represent an enormous variety of information. Cloud applications and data analytics represent a disruptive change in the ways that society is informed by, and uses information. We start the first week by introducing some major systems for data analysis including Spark and the major frameworks and distributions of analytics applications including Hortonworks, Cloudera, and MapR. By the middle of week one we introduce the HDFS distributed and robust file system that is used in many applications like Hadoop and finish week one by exploring the powerful MapReduce programming model and how distributed operating systems like YARN and Mesos support a flexible and scalable environment for Big Data analytics. In week two, our course introduces large scale data storage and the difficulties and problems of consensus in enormous stores that use quantities of processors, memories and disks. We discuss eventual consistency, …
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Specification: Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud
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36 reviews for Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud
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Daren T –
The course could use a programming assignment to go along with the lectures.
Raptis D –
This course contained a great amount of information about several systems widely used nowadays for large scale problems. There were analyses of the inner workings of these systems and their algorithms, as well as simple examples of how they can be used to solve common problems. The only drawback of the course is that the coursework was not significantly challenging and there were no programming assignments, which could give learners an opportunity to experiment with some of these technologies and acquire hands on experience.
Turdaliev N K –
Love this course!!!
uzair –
good things to learn about real world big problems
Fillipe d S S –
A very good course, with interesting topics about Big Data, Cloud Computing and MapReduce paradigm with real application examples.
Vinh Q T –
good practical materials which help to better understand the theories from previous courses
SUDHANSHU S –
Better understanding of latest technology
Alex T –
Not enough depth. Put another way not a CS course.
Jorg S –
Quizzes are trivial. Makes the certification worthless. Prof. Campbell is not a good lecturer. The topics are treated mostly superficially, then suddenly go into too much detail sometimes (how to use IntelliJ IDEA, machine learning). Subtitles are very buggy. I enjoyed Mr. Farivar’s talks much more, it seems like he knows what he is talking about and his presentations are well structured.
cong w –
good course. I hope it can contain more contents.
MichaB M –
I’ve already written a review for part 1 and I have the same opinion about this one. The course is rather poor and not challenging. Only general information about relevant topics that as well read on wikipedia. No exercises, no code assignments. A lot of this content was repeated from first two parts of this specialization.
Patrick S –
This course is really useful to get an overview of the cloud technologies if you are ether curious know what’s out there, or if you are trying to determine which technologies you should focus on for the problem you are trying to solve. I believe the course is a lot more relevant if you tried out some cloud framework (i.e. play with one of the Docker or Vagrant VM demos) The lecturers are clear, and the audio and slides are of good quality. One of the most valuable pieces of information from this course (that you cannot easily discern from reading documentation on each framework) is how the lectures link strengths or weaknesses in a technology or algorithm to its inner workings. One small nitpick is that the quiz questions could be improved. A lot of them is regurgitation of definitions (or regurgitation of the order of bullet points in a slide somewhere), rather than analytical style questions that require the user to think of the concepts. The end result is that the quizzes are very easy but not valuable. I assume this course had assignments before, but they appear to have been removed.
Gil S –
course content is good, but the lectures are monotonous and put you to sleep.
Murat K –
Great course!
Miklos A R –
The content is very good, the course gives a wide overview on the topics. On the other hand for me it was a bit slow and found many repetitions in the course videos, the exams could have been harder and could have helped to deepen understanding a bit more. I was lacking the programming assignments, as well.
Nishant S –
The course was focused too much on theory. It didn’t have any programming assignments, which made the course less interesting.
Yaron K –
Introduces major Big data technologies and products and their use cases. There are some “rough edges” as this course has clearly been built from videos from former courses, and as usual with Coursera there are numerous errors in the subtitles/transcripts, Problematic if you’re deaf or find following spoken English difficult. Still the lecturers are very enthusiastic and you can see that they really tried hard to explain the Big data technologies so 4 stars rounded to 5.
Kumar A D –
This course is only informative. It provides good information of current big data technology and tool. It would be good if course also provide some assignment to complete so that course gives some hands on on technology.
Mahendra S –
Very good introduction of application concepts of cloud data computing. Thank You!
Shiva B –
Good overview and jumping off points to go explore more. Great that a lot of tool sets were exposed to us. A list of all these tool sets in a document would be handy.
Uche N –
My understanding of Big Data technologies was really enhanced by this course. I have decided to pursue more of these underlying technologies after this course. Good job
Ricardo O P d T –
The course is good, gives you an overview of many important technologies, although the last module is too superficial.
Eduardo B L –
The content is quite complete and challenging.
Michael M –
There are very small quizzes in this course. First two parts were much more better and more interesting
Aditya K –
Again, too much theory. More exercises needed.
KimManSoo –
good
shashank –
Great for learning
Joseph K –
This is amazing
Austin Z –
Much better than Part 1. This course mostly shows the applications of the topics covered in the Cloud Computing Concepts course using the popular tools from when this course was recorded. There is a decent amount of redundant material from course overlap and this course could be made more concise, but there is still a decent amount of new material. You can probably pass most of the quizzes from knowledge gained in the other course though.
Manasvi N –
Oleg –
It looks like the course was influenced by reviews from ‘Cloud Computing Concepts, Part 1’ course that contained complaints about the programming assignment, fast pace of the course and complex quizes. (I don’t share these complaints, for me that course was incredible) This course gives a too high level overview of the topics presented. Also, like in the previous part of the course, Mr. Campbell’s lectures are too long, boring and hard to understand. This is disappointing since the topics in his lectures are really imporant. The quizes are too easy, no programming assigment, there’s just no chance to check if you understood the material deep enough. Spark, CAP theorem, Storm and a lot of other stuff is covered by Cloud Computing Concepts in a more informative and compact way. Almost no imformation about the TensorFlow. It deserves at least a lessson devoted to it.
Javed A –
Very Useful Course. Course material is massive and well prepared for the modern industry demands.
Weidong X –
I learned a little about a lot of things.
Sushil S –
This was an exasperating course it is at times incoherent, at times just plain reading out of a teleprompter, and at times referring to assignments or slides which do not exist. The quizzes can be safely tackled by going through 5% of the coursework and that is being generous. A deficit that a programming section could easily overcome. I do feel bad for the instructors, i am sure it is not what they had in mind when they set out to design the course. Unfortunately it is hardly what one expects from a course part of a paid specialisation.
Vara V –
I have got a good overview of cloud computing applications. Seems like put it, applications, all together in one place.
Tony W –
needs to be updated