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Managing Big Data in Clusters and Cloud Storage に戻る

Cloudera による Managing Big Data in Clusters and Cloud Storage の受講者のレビューおよびフィードバック



In this course, you'll learn how to manage big datasets, how to load them into clusters and cloud storage, and how to apply structure to the data so that you can run queries on it using distributed SQL engines like Apache Hive and Apache Impala. You’ll learn how to choose the right data types, storage systems, and file formats based on which tools you’ll use and what performance you need. By the end of the course, you will be able to • use different tools to browse existing databases and tables in big data systems; • use different tools to explore files in distributed big data filesystems and cloud storage; • create and manage big data databases and tables using Apache Hive and Apache Impala; and • describe and choose among different data types and file formats for big data systems. To use the hands-on environment for this course, you need to download and install a virtual machine and the software on which to run it. Before continuing, be sure that you have access to a computer that meets the following hardware and software requirements: • Windows, macOS, or Linux operating system (iPads and Android tablets will not work) • 64-bit operating system (32-bit operating systems will not work) • 8 GB RAM or more • 25GB free disk space or more • Intel VT-x or AMD-V virtualization support enabled (on Mac computers with Intel processors, this is always enabled; on Windows and Linux computers, you might need to enable it in the BIOS) • For Windows XP computers only: You must have an unzip utility such as 7-Zip or WinZip installed (Windows XP’s built-in unzip utility will not work)...



Managing Big Data in Clusters and Cloud Storage: 1 - 9 / 9 レビュー

by Abhilash M

Dec 16, 2019

It would have been nice if videos would have been present instead of reading. Also a more deep diving would have been done in concepts like bucketing and indexing.

by Fabiola S

Jan 05, 2020

Coursera Team,

This course has been the absolute best experience I have had with online learning. I've taken other courses on Coursera but this course is exemplary because of it structure, focus, and skilled instructors.

Each course is well organized and stays on topic. However, if there are any related topics students should explore, the instructors have provided links for students to have a semi-guided self-taught journey on their own time. Other courses don't do that.

The focused lessons keep data neophytes like myself feel less overwhelmed by the information taught in the course. Modern Big Data Analysis using SQL is a very broad yet important topic. However, the instructors on this course really ameliorate that overwhelming feeling with clear and focused lectures.

The instructors come across as not only subject matter experts but as seasoned teaching professionals. They can explain the concepts in the courses in a clear and succinct manner without oversimplifying. Other instructors on Coursera, while skilled in their field, don't have the teaching finesse as Ian and Glynn do. If more courses on Coursera were taught by Ian and Glynn and others like them, I would pursue even more studies with Coursera.

I hope this feedback is heard.

P.S. - please release the Advanced SQL Course, I'm eager to pursue that.

Thank you,


by Hamza a

Jan 15, 2020

Very good course

by Jose M N F

Dec 13, 2019

Excellent course

by N B

Dec 06, 2019

Nice course

by Hemanth G

Aug 15, 2019

While the courses covers a lot of relevant and useful topics, it relies too much on the reading material. I would have liked more videos than reading material. My sense is that it would have allowed the instructors to delve deeper and also helps students understand better.


by Muller H

Sep 27, 2019

Personally, I prefer video

Too much reading material

But overall, it is still good course, try to cover all the things we should know

by Shahab a s

Jan 02, 2020

I enjoyed course 1 and course 2 better. This course was cramming a lot of information. I enjoy studying through video lessons. This course lacked many video lessons.

by yavuz k

Oct 04, 2019

Unlike the previous two courses in the speacialization, in this course involves more reading and video lessons.