About this Course
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Data WarehousingMaterialized ViewData WarehouseSQL

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

탄력적인 마감일

일정에 따라 마감일을 재설정합니다.

완료하는 데 약 16시간 필요

권장: 7 hours/week...

영어

자막: 영어

강의 계획 - 이 강좌에서 배울 내용

1
완료하는 데 4시간 필요

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
7개의 동영상
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
14개의 읽기 자료
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
1개 연습문제
Module 1 quiz30m
2
완료하는 데 7시간 필요

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
5개의 동영상
SQL CUBE operator video lecture7m
SQL ROLLUP operator video lecture7m
SQL GROUPING SETS operator video lecture7m
Variations of subtotal operators video lecture9m
12개의 읽기 자료
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
2개 연습문제
Module 2 quiz20m
Quiz for module 2 assignment4m
3
완료하는 데 7시간 필요

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
5개의 동영상
Extended Syntax and Ranking Functions video lecture7m
Window Comparison I video lecture8m
Window Comparisons II video lecture10m
Functions for Ratio Comparisons video lecture10m
12개의 읽기 자료
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
2개 연습문제
Module 3 quiz20m
Quiz for module 3 assignment38m
4
완료하는 데 6시간 필요

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
5개의 동영상
Materialized view definition and processing video lecture9m
Query Rewriting Rules video lecture8m
Query Rewriting Examples video lecture10m
Oracle Tools for Data Integration video lecture14m
11개의 읽기 자료
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
2개 연습문제
Module 4 quiz30m
Quiz for module 4 assignment38m
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최상위 리뷰

대학: 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.

대학: 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.

강사

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Michael Mannino

Associate Professor
Business School, University of Colorado Denver

콜로라도 대학교 정보

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 전문 분야 정보

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

자주 묻는 질문

  • 강좌에 등록하면 바로 모든 비디오, 테스트 및 프로그래밍 과제(해당하는 경우)에 접근할 수 있습니다. 상호 첨삭 과제는 이 세션이 시작된 경우에만 제출하고 검토할 수 있습니다. 강좌를 구매하지 않고 살펴보기만 하면 특정 과제에 접근하지 못할 수 있습니다.

  • 강좌를 등록하면 전문 분야의 모든 강좌에 접근할 수 있고 강좌를 완료하면 수료증을 취득할 수 있습니다. 전자 수료증이 성취도 페이지에 추가되며 해당 페이지에서 수료증을 인쇄하거나 LinkedIn 프로필에 수료증을 추가할 수 있습니다. 강좌 내용만 읽고 살펴보려면 해당 강좌를 무료로 청강할 수 있습니다.

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