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Foundations for Big Data Analysis with SQL(으)로 돌아가기

Cloudera의 Foundations for Big Data Analysis with SQL 학습자 리뷰 및 피드백

4.8
별점
943개의 평가
231개의 리뷰

강좌 소개

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)...

최상위 리뷰

AG
2019년 9월 27일

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! :)

AE
2019년 9월 9일

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

필터링 기준:

Foundations for Big Data Analysis with SQL의 236개 리뷰 중 226~236

교육 기관: Abdulrahman A T

2020년 11월 8일

Good refresher

교육 기관: Akshaya S

2020년 7월 24일

Very good

교육 기관: Keshav B

2021년 8월 9일

great!!

교육 기관: yash c

2021년 7월 29일

good

교육 기관: SAMIR A M

2021년 6월 16일

****

교육 기관: Jun-Hoe L

2021년 5월 7일

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.

교육 기관: أحمد م ف م س

2020년 4월 7일

Need more Exercise and parctice on theory

교육 기관: Елена Ц

2020년 10월 30일

Много теории и мало практики.

교육 기관: Matt B

2020년 5월 8일

No real hands-on training

교육 기관: AB

2021년 4월 16일

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.

교육 기관: Shobhit G

2020년 5월 29일

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