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Bewertung und Feedback des Lernenden für Managing Big Data in Clusters and Cloud Storage von Cloudera

4.7
Sterne
257 Bewertungen
59 Bewertungen

Über den Kurs

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)...

Top-Bewertungen

PZ

3. Sep. 2020

This was definitely the most challenging course I have done so far, but I am loving it! Glynn and Ian do a fantastic job of guiding you through the content in an engaging and practical manner.

SY

29. Feb. 2020

This is Very good course for a beginners, it gives you lots of exercises to practice in vm and course material is Really really good but only thing is you have to read a lot ,

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51 - 61 von 61 Bewertungen für Managing Big Data in Clusters and Cloud Storage

von Son n h

7. Feb. 2021

good

von NAMITA S

23. Mai 2020

Nice

von YOENDRI E A

11. Nov. 2020

GOD

von Irina K

18. Jan. 2021

The course is good designed and information is well structured and explained. The final work is also very well designed. The only thing that I would improve, they have tests only at the end of a week. I would add it after every part.

von Edwar F N P

9. Sep. 2020

I prefer the type of course where the class is teached in video. This course have many lectures. The content of the course is very well prepared :)

von Tichaona M

5. März 2020

Great practical applications learned in this course-this course is demanding but I loved it!

von Richa A

28. Mai 2020

The course spanned across multiple areas. It was great learning.

von meghavath I

9. März 2022

EXELLENT

von yash c

29. Juli 2021

good

von Jun-Hoe L

7. Mai 2021

The weakest of all 3 courses so far. Only few videos each week, the rest consist mostly of reading. Like 1 video, followed by 4 readings. I would have preferred to be bit more balanced.

A bit more balance would be nice, week 2 or 3 seems to be disproportionately heavy. But it does provide some useful information, thought it's a bit dry and slog to get through the reading.

Warning: Anyone thinking of doing the Specialization, consider the Honours track with pinch of salt. 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, don't extend it just to complete the last week of Honours

von Archi C

24. Apr. 2021

No videos only reading. I could have studied from Google instead. Also this entire specialization is only about Hive and Impala. I came here to learn about big data but learnt more about the syntactical differences between these 2 query engines.