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.
Foundations for Big Data Analysis with SQL
Foundations for Big Data Analysis with SQL
This course is part of Modern Big Data Analysis with SQL Specialization
Instructor: Glynn Durham
50,511 already enrolled
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Gain insight into a topic and learn the fundamentals.
4.7
(1,086 reviews)
Beginner level
No prior experience required
Flexible schedule
Approx. 11 hours
Learn at your own pace
96%
Most learners liked this course
What you'll learn
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
Skills you'll gain
Details to know
Shareable certificate
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Assessments
5 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
In this week, you'll get an overview of this Specialization and of Course 1. Then you'll learn about database systems and the distinction between operational and analytic databases.
What's included
11 videos4 readings1 assignment1 discussion prompt
What's included
15 videos3 readings1 assignment1 discussion prompt
What's included
12 videos1 reading1 assignment1 discussion prompt
What's included
12 videos1 reading1 assignment1 discussion prompt
What's included
6 videos3 readings1 assignment1 peer review1 discussion prompt
Instructor
Instructor ratings
4.8 (313 ratings)2 Courses52,849 learners
Offered by
Recommended if you're interested in Data Analysis
Coursera Project Network
Università di Napoli Federico II
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4.7
1,086 reviews
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Showing 3 of 1086
TK
5
Reviewed on Apr 8, 2020
Actually it was quite boring until week 4 because all lectures are theoretical contents regarding SQL. But now I realise that it was essential to understand well.
RL
5
Reviewed on Jul 24, 2020
Great course series. Lessons are clear and well made. I learned a great deal about SQL and Database Management and Structure. Highly recommended.
SM
4
Reviewed on Jul 14, 2021
The first course of this specialization was good and Instructor Sir, Glynn Durham was a good instructor with lot of explanation, examples and acronyms too
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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.