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Advanced Database Analytics

Explore advanced data analysis using OLAP operations and recursive SQL queries to build powerful data warehouses and complex analytical solutions.

Explore advanced data analysis using OLAP operations and recursive SQL queries to build powerful data warehouses and complex analytical solutions.

This specialized course explores advanced database concepts focusing on On-Line Analytical Processing (OLAP) and recursion in SQL. Part of Stanford's comprehensive database series, it covers essential concepts including star schemas, data cubes, and OLAP operators in relational databases. Students learn to implement recursive queries following SQL standards and understand their practical applications. The course combines theoretical knowledge with hands-on practice, preparing students for real-world data analysis and warehouse management. Designed for those who have completed basic SQL training, this course provides deep insights into advanced database operations.

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Advanced Database Analytics

This course includes

2 Weeks

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

5,869

What you'll learn

  • Master OLAP concepts including star schemas and data cube operations

  • Implement recursive queries using SQL standards

  • Understand advanced database analysis techniques

  • Apply OLAP features in relational databases

  • Develop skills for complex data analysis and warehousing

Skills you'll gain

OLAP
SQL
Recursive Queries
Data Warehousing
Star Schema
Data Cube
Database Analytics
Query Optimization

This course includes:

PreRecorded video

Quizzes, interactive exercises

Access on Mobile, Tablet, Desktop

Limited Access access

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Module Description

This course provides advanced coverage of database concepts focusing on OLAP and recursion. The curriculum is divided into two main sections: On-Line Analytical Processing, which covers star schemas and data cube concepts, and Recursion, which explores SQL standards for recursive queries. The course includes video lectures, demos, and interactive exercises, providing both theoretical understanding and practical application of advanced database concepts.

Fee Structure

Instructor

A Pioneering Leader in Computer Science and Engineering Education

Jennifer Widom, born in 1960/1961, has shaped the landscape of computer science through her groundbreaking work in database systems and data management. As the Frederick Emmons Terman Dean of Stanford's School of Engineering since 2017, she brings a unique blend of musical training and technical expertise, having earned her BS in trumpet performance before pursuing computer science. Her career trajectory includes significant research at IBM Almaden Research Center before joining Stanford in 1993, where she has served in various leadership roles including Computer Science Department Chair and Senior Associate Dean. Widom's contributions to semi-structured data management and database systems have earned her numerous accolades, including ACM Fellowship, membership in the National Academy of Engineering, and the prestigious ACM SIGMOD Edgar F. Codd Innovations Award. She pioneered one of Stanford's first MOOCs in 2011, reaching over 100,000 students worldwide, and has co-authored four influential database textbooks. Beyond her academic achievements, she maintains strong family ties in academia - her father Harold Widom is a mathematician, and she is married to Alex Aiken, former chair of Stanford's computer science department, with whom she has two children

Advanced Database Analytics

This course includes

2 Weeks

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

5,869

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.