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.
This course is part of the Data Warehousing for Business Intelligence Specialization
Relational Database Support for Data Warehouses
Offered By
About this Course
4.6
487 ratings
Skills you will gain
Data WarehousingMaterialized ViewData WarehouseSQL
Syllabus - What you will learn from this course
Week
14 hours to complete
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 (Total 44 min), 14 readings, 1 quiz
7 videos
Course objectives video lecture4m
Course topics and assignments video lecture5m
DBMS extensions video lecture8m
Relational database schema patterns video lecture8m
Colorado Education Data Warehouse video lecture7m
Data warehouse standards in health care video lecture7m
14 readings
Powerpoint lecture notes for lesson 110m
Powerpoint lecture notes for lesson 210m
Optional textbook10m
Powerpoint lecture notes for lesson 310m
Powerpoint lecture notes for lesson 410m
Powerpoint lecture notes for lesson 510m
Powerpoint lecture notes for lesson 610m
Overview of software requirements10m
Overview of database software installation10m
Oracle installation notes10m
Making connections to a local Oracle database10m
SQL statements for Store Sales tables10m
SQL statements for Inventory DW tables10m
Optional textbook reading material10m
1 practice exercise
Module 1 quiz30m
Week
27 hours to complete
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 (Total 39 min), 12 readings, 3 quizzes
5 videos
SQL CUBE operator video lecture7m
SQL ROLLUP operator video lecture7m
SQL GROUPING SETS operator video lecture7m
Variations of subtotal operators video lecture9m
12 readings
Powerpoint lecture notes for lesson 110m
Additional problems for lesson 110m
Powerpoint lecture notes for lesson 210m
Additional problems for lesson 210m
Powerpoint lecture notes for lesson 310m
Additional problems for lesson 310m
Powerpoint lecture notes for lesson 410m
Additional problems for lesson 410m
Powerpoint lecture notes for lesson 510m
Additional problems for lesson 510m
Optional textbook reading material10m
Assignment notes10m
2 practice exercises
Module 2 quiz20m
Quiz for module 2 assignment4m
Week
37 hours to complete
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 (Total 47 min), 12 readings, 3 quizzes
5 videos
Extended Syntax and Ranking Functions video lecture7m
Window Comparison I video lecture8m
Window Comparisons II video lecture10m
Functions for Ratio Comparisons video lecture10m
12 readings
Powerpoint lecture notes for lesson 110m
Additional problems for lesson 110m
Powerpoint lecture notes for lesson 210m
Additional problems for lesson 210m
Powerpoint lecture notes for lesson 310m
Additional problems for lesson 310m
Powerpoint lecture notes for lesson 410m
Additional problems for lesson 410m
Powerpoint lecture notes for lesson 510m
Additional problems for lesson 510m
Optional reading material10m
Assignment notes10m
2 practice exercises
Module 3 quiz20m
Quiz for module 3 assignment38m
Week
46 hours to complete
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 (Total 54 min), 11 readings, 3 quizzes
5 videos
Materialized view definition and processing video lecture9m
Query Rewriting Rules video lecture8m
Query Rewriting Examples video lecture10m
Oracle Tools for Data Integration video lecture14m
11 readings
Powerpoint lecture notes for lesson 110m
Additional problems for lesson 110m
Powerpoint lecture notes for lesson 210m
Additional problems for lesson 210m
Powerpoint lecture notes for lesson 310m
Powerpoint lecture notes for lesson 410m
Additional problems for lesson 410m
Powerpoint lecture notes for lesson 510m
Additional problems for lesson 510m
Optional textbook reading material10m
Assignment notes10m
2 practice exercises
Module 4 quiz30m
Quiz for module 4 assignment38m
4.6
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Top Reviews
Awesome content ,very well drafted and explained course content. I am thankful to the coursera team, who has discovered such kind of really good course and specialization.
Excellent Contents for concepts explained with sample queries and assignments. It is really amazing to go thru all the new concepts within such a short time frame.
Instructor
Michael Mannino
Associate ProfessorBusiness School, University of Colorado Denver
About University of Colorado System
The University of Colorado is a recognized leader in higher education on the national and global stage. We collaborate to meet the diverse needs of our students and communities. We promote innovation, encourage discovery and support the extension of knowledge in ways unique to the state of Colorado and beyond.
About the Data Warehousing for Business Intelligence Specialization
Evaluate business needs, design a data warehouse, and integrate and visualize data using dashboards and visual analytics.
This Specialization covers data architecture skills that are increasingly critical across a broad range of technology fields. You’ll learn the basics of structured data modeling, gain practical SQL coding experience, and develop an in-depth understanding of data warehouse design and data manipulation. You’ll have the opportunity to work with large data sets in a data warehouse environment to create dashboards and Visual Analytics. You will use of MicroStrategy, a leading BI tool, OLAP (online analytical processing) and Visual Insights capabilities to create dashboards and Visual Analytics. In the final Capstone Project, you’ll apply your skills to build a small, basic data warehouse, populate it with data, and create dashboards and other visualizations to analyze and communicate the data to a broad audience.
Frequently Asked Questions
When will I have access to the lectures and assignments?
Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
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