MP
Oct 16, 2017
Good Explanations of Concepts and Nice Tests. I got a trilling experience in completing the peer Assignments with keen observation and Analyzing of Concepts learned.Thanq for your course very much.
VG
Mar 27, 2017
Nice course to describe the traditional data modeling (RDBMS) as well as various semi-structured and un-structured data modeling and management of the systems (Batch and Streaming data processing)
By Rafael M
•Jan 6, 2021
constant problem during every exercise, Prepare to spend more time troubleshooting virtual machine problems and CentOS 6 issues than learning about BIG Data
By Deleted A
•Aug 30, 2018
Disastrous set-up of grading assignment. Waiting for 7 days to get rated. No possibility to contact any Coursera staff directly.
By Avazeh G
•Oct 18, 2020
Boring, impractical, very broad, 4 years out of date. Trains you on a bunch of clunky definitions but no useful substance
By Piyush P
•Sep 29, 2017
This course is the worst course on Coursera. I can't understand what it is trying to achieve.
By Seth D
•Aug 18, 2016
Very basic, the 'hands on' exercises are not very hands on and do not actually add much value
By Santosh P
•Sep 15, 2021
The vm provided is not working and no support. I have to stop learning this course.
By Kari S
•Feb 13, 2017
Course material is very poor and did not give much support for doing assignments.
By Nick G
•Mar 10, 2020
This course is SERIOUSLY out dated and hasn't been updated in several years.
By Danny R
•Jul 12, 2023
Cant finish the course due to outdated technology
By Fabian J
•Jul 16, 2022
Setup with the virtual enviroment does not work.
By Qian H
•Jul 10, 2017
Bad course without many useful info
By andreh m
•Nov 6, 2016
The course gives an extensive overview of the topic. I have particularly appreciated the hands on section.
My recommendation to all the students is to not overlook the hands on and create some personal notes and code archive to quickly review those topics.
Some particular good learning for myself: lucene. I have used lucene at work both directly and wrapped within elastic search: in both cases I was not going deep in understanding the data model behind lucene and concepts like similarity. You can leave like that in the vast majority of the current jobs where lucene is a third party system invoked upon needs but understanding the model behind was simply much more easy than I expected.
By Joydeep S
•Jul 18, 2017
This course was really nice and very well put together. I learned a lot and more so, learned in a structured manner. For people like me who come from traditional data background and new to big data concepts this way of presenting the course is very important and fruitful. I hoping to complete the rest of the courses in this series and end up with a good depth in knowledge of big data
By José A R N
•Sep 13, 2017
My name is Jose Antonio. I am looking for a new Data Scientist career ( https://www.linkedin.com/in/joseantonio11)
I did this course to get new knowledge about Big Data and better understand the technology and your practical applications.
The course was excellent and the classes well taught by the Teachers.
Congratulations to Coursera team and Teachers.
By Sarsiz C
•May 13, 2017
I thoroughly enjoyed this course. The content was good and it definitely needs some changes. You should explain according to me in more detail about how using a particular method of data structure you can structure the data. The exercise was easy. And please add some more exercise so that learners need to work little harder to pass the quiz.
By Sukanta M
•Nov 15, 2017
I was looking for this type of course of BigData. I have spent hours to read through different blogs and articles. But couldn't get better idea/direction how to start or where to start. This is ideal course for getting started on Big Data. I enjoyed all the slides and hands on very much. Thank you.
By Sita R P G
•Oct 23, 2016
Modeling is the start and gives an insight how to choose the correct model for a big data project. The correct choice of the model spells success for the project. Many data models were introduced and the hands-on exercises were helpful in better understanding of the concepts.
By Mohamad K
•Aug 20, 2019
Its extremely an important course to understand the different between DBMS and BIG data and why DBMS changed to BDMS. Its also give nice intro to unstructured data process such images and graph Nodes. Study this course will remove many questions in your mind.
By Misty S
•Aug 28, 2019
While the course content is very good, I feel this is not for beginners as one needs a basic knowledge of traditional relational databases for starters. The assignment helps clear the concepts and makes it understandable enough to work on it.
By John C
•Aug 19, 2018
A very nice introduction to the subject. Like in any other discipline one needs to practice in order to verify that you know the theory. Will continue signing up for more courses and specialitations. Very happy with the way things are going.
By Glenn B
•Feb 5, 2017
I thought this course was great. It gave a phenomenal overview of the tool sets out there and some good practical hands on with them. This series of course is a must for anyone wanting an overview and some hands on in the big data world
By Basil C
•Jan 19, 2020
This is a great crash course for beginners to get up to speed. Would be great to cover more modelling techniques and real-world case studies. Thank you - I've learned much from both Ilkay Altintas and Amarnath Gupta. Congratulations.
By Vincent R
•Feb 5, 2018
Great course for the beginner I am! The short video concept is a good and convenient learning tool. The final capstone exercise was challenging. Really enjoy it. I look forward to begin the next course of the specialization.
By Ali S
•Sep 21, 2019
The course was great I learned basics of different big data visualizations. Sources of big data and different tools introduced which can be very helpful. The quizes and assignments helped me to better understand the course.
By loveneet k
•Aug 21, 2017
Wonderful experience with you guys. Crisp overview about Big Data management. Decisions we should consider before taking Big data approaches. What are the available state of art exposure. It was great learning experience