Relational Database Support for Data Warehouses

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About this course: Relational Database Support for Data Warehouses is the third course in the Data Warehousing for Business Intelligence specialization. In this course, you'll use analytical elements of SQL for answering business intelligence questions. You'll learn features of relational database management systems for managing summary data commonly used in business intelligence reporting. Because of the importance and difficulty of managing implementations of data warehouses, we'll also delve into storage architectures, scalable parallel processing, data governance, and big data impacts.

Created by:  University of Colorado System
  • Taught by:  Michael Mannino, Associate …

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Nog niet gevonden wat je zocht? Bekijk deze onderwerpen: Business intelligence, Datawarehouse, Businessarchitectuur, BiSL Foundation en Business Analyse.

When you enroll for courses through Coursera you get to choose for a paid plan or for a free plan

  • Free plan: No certicification and/or audit only. You will have access to all course materials except graded items.
  • Paid plan: Commit to earning a Certificate—it's a trusted, shareable way to showcase your new skills.

About this course: Relational Database Support for Data Warehouses is the third course in the Data Warehousing for Business Intelligence specialization. In this course, you'll use analytical elements of SQL for answering business intelligence questions. You'll learn features of relational database management systems for managing summary data commonly used in business intelligence reporting. Because of the importance and difficulty of managing implementations of data warehouses, we'll also delve into storage architectures, scalable parallel processing, data governance, and big data impacts.

Created by:  University of Colorado System
  • Taught by:  Michael Mannino, Associate Professor

    Business School, University of Colorado Denver
Basic Info Course 3 of 5 in the Data Warehousing for Business Intelligence Specialization Language English How To Pass Pass all graded assignments to complete the course. User Ratings 4.6 stars Average User Rating 4.6See what learners said Coursework

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Syllabus


WEEK 1


DBMS Extensions and Example Data Warehouses



Module 1 introduces the course and covers concepts that provide a context for the remainder of this course. In the first two lessons, you’ll understand the objectives for the course and know what topics and assignments to expect. In the remaining lessons, you will learn about DBMS extensions, a review of schema patterns, data warehouses used in practice problems and assignments, and examples of data warehouses in education and health care. This informational module will ensure that you have the background for success in later modules that emphasize details and hands-on skills.You should also read about the software requirements in the lesson at the end of module 1. I recommend that you try to install the Oracle software this week before assignments begin in week 2. If you have taken other courses in the specialization, you may already have installed the Oracle software.


7 videos, 14 readings expand


  1. Video: Course introduction video
  2. Video: Course objectives video lecture
  3. Reading: Powerpoint lecture notes for lesson 1
  4. Video: Course topics and assignments video lecture
  5. Reading: Powerpoint lecture notes for lesson 2
  6. Reading: Optional textbook
  7. Video: DBMS extensions video lecture
  8. Reading: Powerpoint lecture notes for lesson 3
  9. Video: Relational database schema patterns video lecture
  10. Reading: Powerpoint lecture notes for lesson 4
  11. Video: Colorado Education Data Warehouse video lecture
  12. Reading: Powerpoint lecture notes for lesson 5
  13. Video: Data warehouse standards in health care video lecture
  14. Reading: Powerpoint lecture notes for lesson 6
  15. Reading: Overview of software requirements
  16. Reading: Overview of database software installation
  17. Reading: Oracle installation notes
  18. Reading: Making connections to a local Oracle database
  19. Reading: SQL statements for Store Sales tables
  20. Reading: SQL statements for Inventory tables
  21. Reading: Optional textbook reading material

Graded: Module 1 quiz

WEEK 2


SQL Subtotal Operators



Now that you have the informational context for relational database support of data warehouses, you’ll start using relational databases to write business intelligence queries! In module 2, you will learn an important extension of the SQL SELECT statement for subtotal operators. You’ll apply what you’ve learned in practice and graded problems using Oracle SQL for problems involving the CUBE, ROLLUP, and GROUPING SETS operators. Because the subtotal operators are part of the SQL standard, your learning will readily apply to other enterprise DBMSs. At the end of this module, you will have solid background to write queries using the SQL subtotal operators as a data warehouse analyst.


5 videos, 12 readings expand


  1. Video: GROUP BY clause review video lecture
  2. Reading: Powerpoint lecture notes for lesson 1
  3. Reading: Additional problems for lesson 1
  4. Video: SQL CUBE operator video lecture
  5. Reading: Powerpoint lecture notes for lesson 2
  6. Reading: Additional problems for lesson 2
  7. Video: SQL ROLLUP operator video lecture
  8. Reading: Powerpoint lecture notes for lesson 3
  9. Reading: Additional problems for lesson 3
  10. Video: SQL GROUPING SETS operator video lecture
  11. Reading: Powerpoint lecture notes for lesson 4
  12. Reading: Additional problems for lesson 4
  13. Video: Variations of subtotal operators video lecture
  14. Reading: Powerpoint lecture notes for lesson 5
  15. Reading: Additional problems for lesson 5
  16. Reading: Optional textbook reading material
  17. Reading: Assignment notes

Graded: Module 2 quiz
Graded: Quiz for module 2 assignment
Graded: Assignment for module 2

WEEK 3


SQL Analytic Functions



After your experience using the SQL subtotal operators, you are ready to learn another important SQL extension for business intelligence applications. In module 3, you will learn about an extended processing model for SQL analytic functions that support common analysis in business intelligence applications. You’ll apply what you’ve learned in practice and graded problems using Oracle SQL for problems involving qualitative ranking of business units, window comparisons showing relationships of business units over time, and quantitative contributions showing performance thresholds and contributions of individual business units to a whole business. Because analytic functions are part of the SQL standard, your learning will apply to other enterprise DBMSs. At the end of this module, you will have solid background to write queries using the SQL analytic functions as a data warehouse analyst.


5 videos, 12 readings expand


  1. Video: Processing Model and Basic Syntax video lecture
  2. Reading: Powerpoint lecture notes for lesson 1
  3. Reading: Additional problems for lesson 1
  4. Video: Extended Syntax and Ranking Functions video lecture
  5. Reading: Powerpoint lecture notes for lesson 2
  6. Reading: Additional problems for lesson 2
  7. Video: Window Comparison I video lecture
  8. Reading: Powerpoint lecture notes for lesson 3
  9. Reading: Additional problems for lesson 3
  10. Video: Window Comparisons II video lecture
  11. Reading: Powerpoint lecture notes for lesson 4
  12. Reading: Additional problems for lesson 4
  13. Video: Functions for Ratio Comparisons video lecture
  14. Reading: Powerpoint lecture notes for lesson 5
  15. Reading: Additional problems for lesson 5
  16. Reading: Optional textbook reading material
  17. Reading: Assignment notes

Graded: Module 3 quiz
Graded: Quiz for module 3 assignment
Graded: Assignment for module 3

WEEK 4


Materialized View Processing and Design



After acquiring query formulation skills for development of business intelligence applications, you are ready to learn about DBMS extensions for efficient query execution. Business intelligence queries can use lots of resources so materialized view processing and design has become an important extension of DBMSs. In module 4, you will learn about an SQL statement for creating materialized views, processing requirements for materialized views, and rules for rewriting queries using materialized views. To gain insight about the complexity of query rewriting, you will practice rewriting queries using materialized views. To provide closure about relational database support for data warehouses, you will learn about about Oracle tools for data integration, the Oracle Data Integrator, along with two SQL statements useful for specific data integration tasks. After this module, you will have a solid background to use materialized views to improve query performance and deploy the Extraction, Loading, and Transformation approach for data integration as a data warehouse administrator or analyst.


5 videos, 11 readings expand


  1. Video: Background on traditional views video lecture
  2. Reading: Powerpoint lecture notes for lesson 1
  3. Reading: Additional problems for lesson 1
  4. Video: Materialized view definition and processing video lecture
  5. Reading: Powerpoint lecture notes for lesson 2
  6. Reading: Additional problems for lesson 2
  7. Video: Query Rewriting Rules video lecture
  8. Reading: Powerpoint lecture notes for lesson 3
  9. Video: Query Rewriting Examples video lecture
  10. Reading: Powerpoint lecture notes for lesson 4
  11. Reading: Additional problems for lesson 4
  12. Video: Oracle Tools for Data Integration video lecture
  13. Reading: Powerpoint lecture notes for lesson 5
  14. Reading: Additional problems for lesson 5
  15. Reading: Optional textbook reading material
  16. Reading: Assignment notes

Graded: Module 4 quiz
Graded: Quiz for module 4 assignment
Graded: Assignment for module 4

WEEK 5


Physical Design and Governance



Module 5 finishes the course with a return to conceptual material about physical design technologies and data governance practices. You will learn about storage architectures, scalable parallel processing, big data issues, and data governance. After this module, you will have background about conceptual issues important for data warehouse administrators.


5 videos, 5 readings expand


  1. Video: Storage Architectures video lecture
  2. Reading: Powerpoint lecture notes for lesson 1
  3. Video: Scalable Parallel Processing Approaches video lecture
  4. Reading: Powerpoint lecture notes for lesson 2
  5. Video: Big data issues video lecture
  6. Reading: Powerpoint lecture notes for lesson 3
  7. Video: Data Governance video lecture
  8. Reading: Powerpoint lecture notes for lesson 4
  9. Reading: Optional textbook reading material
  10. Video: Closing Lecture

Graded: Module 5 quiz

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