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Data WarehousingMaterialized ViewData WarehouseSQL

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自分のスケジュールですぐに学習を始めてください。

柔軟性のある期限

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約16時間で修了

推奨:7 hours/week...

英語

字幕:英語

シラバス - 本コースの学習内容

1
4時間で修了

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件のビデオ (合計44分), 14 readings, 1 quiz
7件のビデオ
Course objectives video lecture4 分
Course topics and assignments video lecture5 分
DBMS extensions video lecture8 分
Relational database schema patterns video lecture8 分
Colorado Education Data Warehouse video lecture7 分
Data warehouse standards in health care video lecture7 分
14件の学習用教材
Powerpoint lecture notes for lesson 110 分
Powerpoint lecture notes for lesson 210 分
Optional textbook10 分
Powerpoint lecture notes for lesson 310 分
Powerpoint lecture notes for lesson 410 分
Powerpoint lecture notes for lesson 510 分
Powerpoint lecture notes for lesson 610 分
Overview of software requirements10 分
Overview of database software installation10 分
Oracle installation notes10 分
Making connections to a local Oracle database10 分
SQL statements for Store Sales tables10 分
SQL statements for Inventory DW tables10 分
Optional textbook reading material10 分
1の練習問題
Module 1 quiz30 分
2
7時間で修了

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件のビデオ (合計39分), 12 readings, 3 quizzes
5件のビデオ
SQL CUBE operator video lecture7 分
SQL ROLLUP operator video lecture7 分
SQL GROUPING SETS operator video lecture7 分
Variations of subtotal operators video lecture9 分
12件の学習用教材
Powerpoint lecture notes for lesson 110 分
Additional problems for lesson 110 分
Powerpoint lecture notes for lesson 210 分
Additional problems for lesson 210 分
Powerpoint lecture notes for lesson 310 分
Additional problems for lesson 310 分
Powerpoint lecture notes for lesson 410 分
Additional problems for lesson 410 分
Powerpoint lecture notes for lesson 510 分
Additional problems for lesson 510 分
Optional textbook reading material10 分
Assignment notes10 分
2の練習問題
Module 2 quiz20 分
Quiz for module 2 assignment4 分
3
7時間で修了

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件のビデオ (合計47分), 12 readings, 3 quizzes
5件のビデオ
Extended Syntax and Ranking Functions video lecture7 分
Window Comparison I video lecture8 分
Window Comparisons II video lecture10 分
Functions for Ratio Comparisons video lecture10 分
12件の学習用教材
Powerpoint lecture notes for lesson 110 分
Additional problems for lesson 110 分
Powerpoint lecture notes for lesson 210 分
Additional problems for lesson 210 分
Powerpoint lecture notes for lesson 310 分
Additional problems for lesson 310 分
Powerpoint lecture notes for lesson 410 分
Additional problems for lesson 410 分
Powerpoint lecture notes for lesson 510 分
Additional problems for lesson 510 分
Optional reading material10 分
Assignment notes10 分
2の練習問題
Module 3 quiz20 分
Quiz for module 3 assignment38 分
4
6時間で修了

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件のビデオ (合計54分), 11 readings, 3 quizzes
5件のビデオ
Materialized view definition and processing video lecture9 分
Query Rewriting Rules video lecture8 分
Query Rewriting Examples video lecture10 分
Oracle Tools for Data Integration video lecture14 分
11件の学習用教材
Powerpoint lecture notes for lesson 110 分
Additional problems for lesson 110 分
Powerpoint lecture notes for lesson 210 分
Additional problems for lesson 210 分
Powerpoint lecture notes for lesson 310 分
Powerpoint lecture notes for lesson 410 分
Additional problems for lesson 410 分
Powerpoint lecture notes for lesson 510 分
Additional problems for lesson 510 分
Optional textbook reading material10 分
Assignment notes10 分
2の練習問題
Module 4 quiz30 分
Quiz for module 4 assignment38 分
4.6
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人気のレビュー

by 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.

by 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.

講師

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Michael Mannino

Associate Professor
Business School, University of Colorado Denver

University of Colorado Systemについて

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....

Data Warehousing for Business Intelligenceの専門講座について

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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