Designing data-intensive applications
Achieve mastery in designing scalable and maintainable data applications, ensuring robust performance and adaptability to meet evolving business needs
Achieve mastery in designing scalable and maintainable data applications, ensuring robust performance and adaptability to meet evolving business needs
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 Database systems 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.
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English
پښتو, বাংলা, اردو, 2 more
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What you'll learn
Design scalable data systems
Implement ACID properties
Optimize data processing
Ensure system reliability
Develop maintainable applications
Skills you'll gain
This course includes:
0.8 Hours PreRecorded video
1 assignment
Access on Mobile, Desktop, Tablet
FullTime access
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There are 4 modules in this course
This course teaches how to design reliable and scalable data-intensive applications. It covers system architecture, data processing, and various database technologies.
Designing Transactional System
Module 1 · 1 Hours to complete
Designing Analytical System
Module 2 · 2 Hours to complete
Designing Alternative Databases
Module 3 · 1 Hours to complete
Designing Data Lake System
Module 4 · 1 Hours to complete
Fee Structure
Instructor
Full time professor at the Department of Computer Engineering
María del Pilar Ángeles is a full-time professor in the Department of Computer Engineering at the Universidad Nacional Autónoma de México (UNAM). She obtained her Ph.D. in Computer Science from Heriot-Watt University in 2007 and has since accumulated over 26 years of experience in the field. Prior to her academic career, she worked as a Technical Support Engineer for several database software providers, including Software AG and Sybase de Mexico. Her research interests encompass a wide range of topics, including Quality in Software Engineering, Master Data Management, Big Data, NoSQL, In-memory databases, Data Mining, Data Quality, Data matching, and Data Provenance.At UNAM, María del Pilar teaches various courses related to data management and database systems. Her offerings on Coursera include Business Intelligence and Data Warehousing, Designing Data-Intensive Applications, NoSQL Systems, and Relational Database Systems. Through these courses, she aims to equip students with essential skills for navigating the complexities of modern data environments and to foster a deeper understanding of the underlying principles of data management and analysis
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