課程信息
4.6
411 個評分
51 個審閱
專項課程

第 3 門課程(共 5 門),位於

100% 在線

100% 在線

立即開始,按照自己的計劃學習。
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可靈活調整截止日期

根據您的日程表重置截止日期。
完成時間(小時)

完成時間大約為17 小時

建議:7 hours/week...
可選語言

英語(English)

字幕:英語(English)...

您將獲得的技能

Data WarehousingMaterialized ViewData WarehouseSQL
專項課程

第 3 門課程(共 5 門),位於

100% 在線

100% 在線

立即開始,按照自己的計劃學習。
可靈活調整截止日期

可靈活調整截止日期

根據您的日程表重置截止日期。
完成時間(小時)

完成時間大約為17 小時

建議:7 hours/week...
可選語言

英語(English)

字幕:英語(English)...

教學大綱 - 您將從這門課程中學到什麼

1
完成時間(小時)
完成時間為 4 小時

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....
Reading
7 個視頻(共 44 分鐘), 14 個閱讀材料, 1 個測驗
Video7 個視頻
Course objectives video lecture4分鐘
Course topics and assignments video lecture5分鐘
DBMS extensions video lecture8分鐘
Relational database schema patterns video lecture8分鐘
Colorado Education Data Warehouse video lecture7分鐘
Data warehouse standards in health care video lecture7分鐘
Reading14 個閱讀材料
Powerpoint lecture notes for lesson 110分鐘
Powerpoint lecture notes for lesson 210分鐘
Optional textbook10分鐘
Powerpoint lecture notes for lesson 310分鐘
Powerpoint lecture notes for lesson 410分鐘
Powerpoint lecture notes for lesson 510分鐘
Powerpoint lecture notes for lesson 610分鐘
Overview of software requirements10分鐘
Overview of database software installation10分鐘
Oracle installation notes10分鐘
Making connections to a local Oracle database10分鐘
SQL statements for Store Sales tables10分鐘
SQL statements for Inventory DW tables10分鐘
Optional textbook reading material10分鐘
Quiz1 個練習
Module 1 quiz30分鐘
2
完成時間(小時)
完成時間為 7 小時

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....
Reading
5 個視頻(共 39 分鐘), 12 個閱讀材料, 3 個測驗
Video5 個視頻
SQL CUBE operator video lecture7分鐘
SQL ROLLUP operator video lecture7分鐘
SQL GROUPING SETS operator video lecture7分鐘
Variations of subtotal operators video lecture9分鐘
Reading12 個閱讀材料
Powerpoint lecture notes for lesson 110分鐘
Additional problems for lesson 110分鐘
Powerpoint lecture notes for lesson 210分鐘
Additional problems for lesson 210分鐘
Powerpoint lecture notes for lesson 310分鐘
Additional problems for lesson 310分鐘
Powerpoint lecture notes for lesson 410分鐘
Additional problems for lesson 410分鐘
Powerpoint lecture notes for lesson 510分鐘
Additional problems for lesson 510分鐘
Optional textbook reading material10分鐘
Assignment notes10分鐘
Quiz2 個練習
Module 2 quiz20分鐘
Quiz for module 2 assignment4分鐘
3
完成時間(小時)
完成時間為 7 小時

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....
Reading
5 個視頻(共 47 分鐘), 12 個閱讀材料, 3 個測驗
Video5 個視頻
Extended Syntax and Ranking Functions video lecture7分鐘
Window Comparison I video lecture8分鐘
Window Comparisons II video lecture10分鐘
Functions for Ratio Comparisons video lecture10分鐘
Reading12 個閱讀材料
Powerpoint lecture notes for lesson 110分鐘
Additional problems for lesson 110分鐘
Powerpoint lecture notes for lesson 210分鐘
Additional problems for lesson 210分鐘
Powerpoint lecture notes for lesson 310分鐘
Additional problems for lesson 310分鐘
Powerpoint lecture notes for lesson 410分鐘
Additional problems for lesson 410分鐘
Powerpoint lecture notes for lesson 510分鐘
Additional problems for lesson 510分鐘
Optional reading material10分鐘
Assignment notes10分鐘
Quiz2 個練習
Module 3 quiz20分鐘
Quiz for module 3 assignment38分鐘
4
完成時間(小時)
完成時間為 6 小時

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....
Reading
5 個視頻(共 54 分鐘), 11 個閱讀材料, 3 個測驗
Video5 個視頻
Materialized view definition and processing video lecture9分鐘
Query Rewriting Rules video lecture8分鐘
Query Rewriting Examples video lecture10分鐘
Oracle Tools for Data Integration video lecture14分鐘
Reading11 個閱讀材料
Powerpoint lecture notes for lesson 110分鐘
Additional problems for lesson 110分鐘
Powerpoint lecture notes for lesson 210分鐘
Additional problems for lesson 210分鐘
Powerpoint lecture notes for lesson 310分鐘
Powerpoint lecture notes for lesson 410分鐘
Additional problems for lesson 410分鐘
Powerpoint lecture notes for lesson 510分鐘
Additional problems for lesson 510分鐘
Optional textbook reading material10分鐘
Assignment notes10分鐘
Quiz2 個練習
Module 4 quiz30分鐘
Quiz for module 4 assignment38分鐘
4.6
51 個審閱Chevron Right
職業方向

33%

完成這些課程後已開始新的職業生涯
工作福利

83%

通過此課程獲得實實在在的工作福利
職業晉升

33%

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創建者 DDJun 28th 2016

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.

創建者 SVApr 18th 2016

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.

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Michael Mannino

Associate Professor
Business School, University of Colorado Denver

關於 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....

關於 Data Warehousing for Business Intelligence 專項課程

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....
Data Warehousing for Business Intelligence

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