返回到 Managing Big Data in Clusters and Cloud Storage
Cloudera

Managing Big Data in Clusters and Cloud Storage

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)

状态:Data Management
状态:Amazon Web Services
初级课程小时

精选评论

GK

5.0评论日期:Feb 9, 2020

Very good material and the labs using the VM are wonderful hands-on experience.

PZ

5.0评论日期:Sep 3, 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.

MA

5.0评论日期:Apr 13, 2020

This is one of the systematic specializations which makes the harder and otherwise overwhelming subject so easy to navigate, follow and learn.

DM

5.0评论日期:Sep 20, 2023

One of the very few - learn it by doing it - big data courses that deals topics like Hadoop, Hive, Impala comprehensively and unambiguously.

RS

5.0评论日期:Jan 13, 2022

i really enjoyed completing this course . i gained to know many new things

RA

4.0评论日期:May 27, 2020

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

JK

5.0评论日期:Oct 7, 2021

Very good course with lots of relevant skills and information learned. The hands-on assignment has some decent challenging parts to it too!

SS

5.0评论日期:Aug 2, 2020

The courses provided in this specialization are very good and gave more than expectations.

M

5.0评论日期:Aug 7, 2020

Absolutely amazing! Have learnt a lot from this course!

TM

4.0评论日期:Mar 4, 2020

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

AN

5.0评论日期:Apr 15, 2020

This is one of the best courses I've attended on Coursera! Kudos to the course organizers and instructors.

BP

5.0评论日期:Mar 30, 2023

Very good explained.Regarding the presentation, there are lots of reading - I would have preferred videos with animations.

所有审阅

显示:20/68

Shahab aal shahabi
3.0
评论日期:Jan 1, 2020
Fabiola Stewart
5.0
评论日期:Jan 5, 2020
Hemanth G
4.0
评论日期:Aug 15, 2019
Muller Hsu
4.0
评论日期:Sep 27, 2019
yavuz kaymak
3.0
评论日期:Oct 4, 2019
Saras Asnani
5.0
评论日期:Aug 2, 2020
Paul Zsidy
5.0
评论日期:Sep 4, 2020
Abhilash Mohapatra
5.0
评论日期:Dec 16, 2019
Andriy Zagoskin
5.0
评论日期:May 4, 2020
Robby Sim
4.0
评论日期:Mar 22, 2021
Jun-Hoe Lee
2.0
评论日期:May 7, 2021
Archi Chakraborty
2.0
评论日期:Apr 24, 2021
Shobhit Gupta
1.0
评论日期:May 29, 2020
Sacha van Weeren
5.0
评论日期:Sep 2, 2020
Shrinidhi Varna
5.0
评论日期:Jun 25, 2020
Wei Pei
5.0
评论日期:Oct 18, 2020
Suhaimi Chan
5.0
评论日期:Apr 18, 2021
JAZIB RASHEED
5.0
评论日期:Jun 14, 2022
Pal Wendler
5.0
评论日期:Aug 30, 2020
Nisar Hussain
5.0
评论日期:Apr 30, 2020