Foundations for Big Data Analysis with SQL
Master SQL fundamentals for big data analysis, covering databases, data structures, and SQL tools for working with large-scale data systems.
Master SQL fundamentals for big data analysis, covering databases, data structures, and SQL tools for working with large-scale data systems.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Modern Big Data Analysis with SQL Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.7
(1,083 ratings)
50,243 already enrolled
Instructors:
Glynn Durham
English
پښتو, বাংলা, اردو, 3 more
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What you'll learn
Distinguish between operational and analytic databases in big data contexts
Understand database and table design structures
Evaluate database systems based on data volume and variety
Master SQL dialects for big data systems
Explore and analyze data in a big data platform
Skills you'll gain
This course includes:
4.6 Hours PreRecorded video
5 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 5 modules in this course
This comprehensive course provides a foundational understanding of SQL for big data analysis. Students learn to distinguish between operational and analytic databases, understand database and table design principles, and explore how data volume and variety influence database system selection. The curriculum covers SQL dialects specifically designed for big data systems, providing hands-on experience through a virtual machine environment. Topics include database systems overview, big data characteristics, and practical exploration of databases and tables in big data platforms.
Data and Databases
Module 1 · 2 Hours to complete
Relational Databases and SQL
Module 2 · 2 Hours to complete
Big Data
Module 3 · 2 Hours to complete
SQL Tools for Big Data Analysis
Module 4 · 1 Hours to complete
Introduction to Hands-On Environment
Module 5 · 2 Hours to complete
Fee Structure
Instructor
Glynn Durham
4.7 rating
1,086 Reviews
53,385 Students
2 Courses
Senior Instructor and Expert in Big Data and Database Technologies
Glynn Durham, a Louisiana native, earned his Master’s Degree in Computer Science from Louisiana State University, where he studied under Peter Chen, the creator of entity-relationship modeling, a key method for relational database design. Glynn’s career has been largely dedicated to teaching technical subjects, with over five years of experience each at Oracle, MySQL, Sun Microsystems, and Cloudera. As a Senior Instructor, he brings a wealth of practical and theoretical knowledge to his students, specializing in big data and database technologies. His courses, Foundations for Big Data Analysis with SQL and Managing Big Data in Clusters and Cloud Storage, provide learners with essential skills to handle and analyze large datasets in modern data environments. Glynn’s extensive industry experience and instructional expertise make him a valuable educator in the field of data management.
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Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.