Data Storage and Queries
This course is part of DeepLearning.AI Data Engineering Professional Certificate.
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 DeepLearning.AI Data Engineering Professional Certificate 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.
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What you'll learn
Design efficient storage architectures for various use cases
Implement different storage systems including data warehouses and lakes
Optimize query performance using advanced SQL techniques
Work with graph databases and vector similarity search
Perform streaming queries using Apache Flink
Skills you'll gain
This course includes:
4.4 Hours PreRecorded video
3 assignments
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FullTime access
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There are 3 modules in this course
This comprehensive course explores the fundamentals of data storage systems and query optimization. Students learn about various storage architectures including object storage, block storage, and file systems, as well as modern data warehouse and lake concepts. The curriculum covers advanced SQL querying, graph databases with Neo4j, vector similarity search, and streaming queries using Apache Flink. Through hands-on labs, participants gain practical experience with AWS services like Glue and Lake Formation while learning to optimize query performance in both row and column-oriented storage systems.
Storage Ingredients and Storage Systems
Module 1 · 7 Hours to complete
Storage Abstractions
Module 2 · 6 Hours to complete
Queries
Module 3 · 9 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: DeepLearning.AI Data Engineering Professional Certificate
Instructor
Leading Voice in Data Engineering and Best-Selling Author
Joe Reis is a prominent figure in data engineering, recognized as a best-selling author and a "recovering data scientist." He serves as a Data Engineer and Architect at DeepLearning.AI, where he also teaches courses on data engineering principles. Reis is the co-author of the acclaimed book "Fundamentals of Data Engineering" and is known for his engaging presentations as a global keynote speaker. His diverse roles include being a professor, podcaster, and writer, where he shares insights on effective data practices and the evolving landscape of data careers. Through his work, Reis aims to empower others in the field by providing practical knowledge and strategies for success in data engineering.
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