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.
Этот курс входит в специализацию ''Специализация Создание хранилищ данных для бизнес-аналитики'
Relational Database Support for Data Warehouses
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Программа курса: что вы изучите
Неделя
14 ч. на завершение
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 видео ((всего 44 мин.)), 14 материалов для самостоятельного изучения, 1 тест
7 видео
Course objectives video lecture4мин
Course topics and assignments video lecture5мин
DBMS extensions video lecture8мин
Relational database schema patterns video lecture8мин
Colorado Education Data Warehouse video lecture7мин
Data warehouse standards in health care video lecture7мин
14 материала для самостоятельного изучения
Powerpoint lecture notes for lesson 110мин
Powerpoint lecture notes for lesson 210мин
Optional textbook10мин
Powerpoint lecture notes for lesson 310мин
Powerpoint lecture notes for lesson 410мин
Powerpoint lecture notes for lesson 510мин
Powerpoint lecture notes for lesson 610мин
Overview of software requirements10мин
Overview of database software installation10мин
Oracle installation notes10мин
Making connections to a local Oracle database10мин
SQL statements for Store Sales tables10мин
SQL statements for Inventory DW tables10мин
Optional textbook reading material10мин
1 практического упражнения
Module 1 quiz30мин
Неделя
27 ч. на завершение
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 видео ((всего 39 мин.)), 12 материалов для самостоятельного изучения, 3 тестов
5 видео
SQL CUBE operator video lecture7мин
SQL ROLLUP operator video lecture7мин
SQL GROUPING SETS operator video lecture7мин
Variations of subtotal operators video lecture9мин
12 материала для самостоятельного изучения
Powerpoint lecture notes for lesson 110мин
Additional problems for lesson 110мин
Powerpoint lecture notes for lesson 210мин
Additional problems for lesson 210мин
Powerpoint lecture notes for lesson 310мин
Additional problems for lesson 310мин
Powerpoint lecture notes for lesson 410мин
Additional problems for lesson 410мин
Powerpoint lecture notes for lesson 510мин
Additional problems for lesson 510мин
Optional textbook reading material10мин
Assignment notes10мин
2 практического упражнения
Module 2 quiz20мин
Quiz for module 2 assignment4мин
Неделя
37 ч. на завершение
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 видео ((всего 47 мин.)), 12 материалов для самостоятельного изучения, 3 тестов
5 видео
Extended Syntax and Ranking Functions video lecture7мин
Window Comparison I video lecture8мин
Window Comparisons II video lecture10мин
Functions for Ratio Comparisons video lecture10мин
12 материала для самостоятельного изучения
Powerpoint lecture notes for lesson 110мин
Additional problems for lesson 110мин
Powerpoint lecture notes for lesson 210мин
Additional problems for lesson 210мин
Powerpoint lecture notes for lesson 310мин
Additional problems for lesson 310мин
Powerpoint lecture notes for lesson 410мин
Additional problems for lesson 410мин
Powerpoint lecture notes for lesson 510мин
Additional problems for lesson 510мин
Optional reading material10мин
Assignment notes10мин
2 практического упражнения
Module 3 quiz20мин
Quiz for module 3 assignment38мин
Неделя
46 ч. на завершение
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 видео ((всего 54 мин.)), 11 материалов для самостоятельного изучения, 3 тестов
5 видео
Materialized view definition and processing video lecture9мин
Query Rewriting Rules video lecture8мин
Query Rewriting Examples video lecture10мин
Oracle Tools for Data Integration video lecture14мин
11 материала для самостоятельного изучения
Powerpoint lecture notes for lesson 110мин
Additional problems for lesson 110мин
Powerpoint lecture notes for lesson 210мин
Additional problems for lesson 210мин
Powerpoint lecture notes for lesson 310мин
Powerpoint lecture notes for lesson 410мин
Additional problems for lesson 410мин
Powerpoint lecture notes for lesson 510мин
Additional problems for lesson 510мин
Optional textbook reading material10мин
Assignment notes10мин
2 практического упражнения
Module 4 quiz30мин
Quiz for module 4 assignment38мин
4.6
Рецензии: 5733%
начал новую карьеру, пройдя эти курсы
20%
получил значимые преимущества в карьере благодаря этому курсу
25%
стал больше зарабатывать или получил повышение
Лучшие рецензии
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.
Преподаватели
Michael Mannino
Associate ProfessorBusiness School, University of Colorado Denver
О Система университетов штата Колорадо
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.
О специализации ''Создание хранилищ данных для бизнес-аналитики'
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.
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