Relational Database Support for Data Warehouses

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 Oracle or PostgreSQL this week before assignments begin in week 2 If you have taken other courses in the specialization, you may already have installed Oracle or PostgreSQL

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

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

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

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