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學生對 Cloudera 提供的 Foundations for Big Data Analysis with SQL 的評價和反饋

974 個評分
240 條評論


In this course, you'll get a big-picture view of using SQL for big data, starting with an overview of data, database systems, and the common querying language (SQL). Then you'll learn the characteristics of big data and SQL tools for working on big data platforms. You'll also install an exercise environment (virtual machine) to be used through the specialization courses, and you'll have an opportunity to do some initial exploration of databases and tables in that environment. By the end of the course, you will be able to • distinguish operational from analytic databases, and understand how these are applied in big data; • understand how database and table design provides structures for working with data; • appreciate how differences in volume and variety of data affects your choice of an appropriate database system; • recognize the features and benefits of SQL dialects designed to work with big data systems for storage and analysis; and • explore databases and tables in a big data platform. 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)...




The course is an excellent overview of database technologies and introduction into big data. Useful also for those who already worked with a few SQL engines. MIllion thanks to the creators! :)



Awesome foundation to build on skills of query and analysis of big data and to use big data technologies like Hive and Impala\n\nI Really enjoyed the course and the instructor is perfect


226 - Foundations for Big Data Analysis with SQL 的 245 個評論(共 245 個)

創建者 Yulia D


Too basic materials are provided but overall good enough.

創建者 Utkarsh M


Nice but quizzes and assignments can be made harder

創建者 Muhammad S F


Finest Course from cloudera for beginners

創建者 Monika S


It is good but mostly theoratical

創建者 Kartik K


A fine course, it is.

創建者 Abdulrahman A T


Good refresher

創建者 Akshaya S


Very good

創建者 Keshav B



創建者 Nikita



創建者 yash c






創建者 Jun-Hoe L


Quite basic. I understand that the course is aimed to for everyone, including those without a programmign background. But I feel this course could have been compressed into fewer weeks, and the contents of Course 2 and 3 can be spread earlier in this course.

Warning: Anyone thinking of doing the Specialization, consider the Honours track with pinch of salt. Even though you get an Honours banner for the individual courses, for some twisted/lazy logic the final Speclalization certificate doesn't show the Honours banner. Might not be a big deal to some, but still a bit of a let down. Especially when you paid for the subscription.

創建者 أحمد م ف م س


Need more Exercise and parctice on theory

創建者 Елена Ц


Много теории и мало практики.

創建者 Ahmed S S


it is very nice to learn

創建者 Matt B


No real hands-on training

創建者 AB


As with many other courses on this platform, the content taught in the instructional materials seems loosely connected to the questions and the quizzes. Some things are throughly explained, others are just brushed over- at the instructor's will, it seems. Not to mention that the course asisstant's help was ... shall we say... less than helpful.

I do not recommend this course.

創建者 Sajad M


The quality is so poor and full of repetitions. The whole course can be fit into less than half an hour. No hands-on practice. Waste of time!

創建者 Shobhit G


Having peer graded assignments is a waste of everyone's time.