This course is part of Meta Database Engineer Professional Certificate.
This comprehensive course develops your practical knowledge of advanced database concepts including data modeling, automation, storage, optimization, and management. You'll learn to deploy core data modeling skills in modern data warehouse environments and implement database architecture based on Extract, Transform, Load (ETL) patterns. The curriculum covers dimensional data modeling approaches, data warehouse structures, and advanced analytics tools like Tableau for interactive dashboards. You'll gain expertise in database operations management, monitoring solutions, and troubleshooting techniques. Through hands-on projects, you'll apply these concepts in real-world scenarios, enhancing your ability to design efficient database solutions and analyze data effectively.
Instructors:
Arabic
Not specified
What you'll learn
Deploy core data modeling skills and navigate modern data warehouse storage options
Implement database architecture based on Extract, Transform, Load (ETL) patterns
Design dimensional data models for effective data warehousing
Manage database operations including monitoring, reporting and troubleshooting
Use MySQL Workbench for visual database design and modeling
Create interactive dashboards and visualizations with Tableau
Skills you'll gain
This course includes:
2.1 Hours PreRecorded video
14 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.





There are 4 modules in this course
This course provides practical knowledge of advanced database concepts with a focus on data modeling and warehouse management. Students learn fundamental data modeling concepts and use MySQL Workbench to visually design, model, and manage databases. The curriculum explores data warehouse architecture, dimensional data modeling approaches, and ETL (Extract, Transform, Load) processes. Advanced topics include data analytics using visualization tools like Tableau for creating interactive dashboards and reports. Students develop skills in database operations management, monitoring, reporting, and troubleshooting. The course culminates in a real-world project where learners apply data modeling techniques to solve practical business problems, preparing them for data engineering roles in professional environments.
نمذجة البيانات وإدارتها
Module 1 · 5 Hours to complete
تخزين البيانات
Module 2 · 3 Hours to complete
تحليلات البيانات المتقدمة
Module 3 · 3 Hours to complete
نمذجة البيانات وتحليلها
Module 4 · 3 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: Meta Database Engineer Professional Certificate
Instructor
Taught by Meta Staff
Meta offers a range of courses designed to deepen expertise in key areas of software development, including APIs, advanced data modeling, and advanced programming in Kotlin. These courses are taught by Meta's experienced staff, providing learners with valuable insights and practical skills needed to excel in the tech industry. The APIs course covers the fundamentals of building and working with APIs, which are essential for modern web and mobile applications.
Testimonials
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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.