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.
Managing Big Data in Clusters and Cloud Storage
Managing Big Data in Clusters and Cloud Storage
This course is part of Modern Big Data Analysis with SQL Specialization
Instructors: Ian Cook
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4.7
(295 reviews)
Beginner level
No prior experience required
Flexible schedule
Approx. 20 hours
Learn at your own pace
95%
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What you'll learn
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
Describe and choose among different data types and file formats for big data systems
Skills you'll gain
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Assessments
9 assignments
Taught in English
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This course is part of the Modern Big Data Analysis with SQL Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 5 modules in this course
What's included
7 videos3 readings1 assignment1 discussion prompt
What's included
7 videos12 readings2 assignments1 discussion prompt
What's included
5 videos12 readings2 assignments1 discussion prompt
What's included
8 videos13 readings2 assignments1 peer review1 discussion prompt
Honors (Optional)
What's included
6 videos20 readings2 assignments1 discussion prompt
Instructors
Instructor ratings
4.9 (60 ratings)2 Courses52,852 learners
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Recommended if you're interested in Data Analysis
University of Washington
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Learner reviews
4.7
295 reviews
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Showing 3 of 295
GK
5
Reviewed on Feb 9, 2020
Very good material and the labs using the VM are wonderful hands-on experience.
XY
5
Reviewed on Jun 25, 2021
Super useful course with a lot of hands on practices. Though the VM is running slow on my computer.
RA
4
Reviewed on May 27, 2020
The course spanned across multiple areas. It was great learning.
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Frequently asked questions
• 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)
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.