課程信息
4.4
633 個評分
126 個審閱
專項課程
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完成時間(小時)

完成時間大約為19 小時

建議:5 hours/week...
可選語言

英語(English)

字幕:英語(English)

您將獲得的技能

Extraction, Transformation And Loading (ETL)PentahoData IntegrationData Warehouse
專項課程
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19 小時

建議:5 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

Data Warehouse Concepts and Architectures

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 historical reasons for development of data warehouse technology, learning effects, business architectures, maturity models, project management issues, market trends, and employment opportunities. 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 software this week before assignments begin in week 2....
Reading
8 個視頻 (總計 53 分鐘), 15 個閱讀材料, 1 個測驗
Video8 個視頻
Course objectives video lecture4分鐘
Course topics and assignments video lecture4分鐘
Motivation and characteristics video lecture8分鐘
Learning effects for data warehouse development video lecture9分鐘
Data warehouse architectures and maturity video lecture10分鐘
Data Warehouse Examples video lecture9分鐘
Employment opportunities video lecture6分鐘
Reading15 個閱讀材料
Powerpoint lecture notes for lesson 110分鐘
Optional textbook10分鐘
Powerpoint lecture notes for lesson 210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
Powerpoint lecture notes for lesson 710分鐘
Overview of software requirements10分鐘
Pivot4J installation10分鐘
Pentaho Data Integration installation10分鐘
Overview of database software installation10分鐘
Oracle installation notes10分鐘
Making connections to a local Oracle database10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

Multidimensional Data Representation and Manipulation

Now that you have the informational context for data warehouse development, you’ll start using data warehouse tools! In module 2, you will learn about the multidimensional representation of a data warehouse used by business analysts. You’ll apply what you’ve learned in practice and graded problems using WebPivotTable or Pivot4J, open source tools for manipulating pivot tables. At the end of this module, you will have solid background to communicate and assist business analysts who use a multidimensional representation of a data warehouse....
Reading
7 個視頻 (總計 45 分鐘), 9 個閱讀材料, 2 個測驗
Video7 個視頻
Data cube operators video lecture6分鐘
Overview of Microsoft MDX video lecture6分鐘
Microsoft MDX statements video lecture6分鐘
Overview of Pivot4J video lecture6分鐘
Overview of WebPivotTable video lecture4分鐘
Pivot4J software demonstration video lecture5分鐘
Reading9 個閱讀材料
Powerpoint lecture notes for lesson 110分鐘
Powerpoint lecture notes for lesson 210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
Optional textbook reading material10分鐘
Pentaho Pivot4J tutorial10分鐘
WebPivotTable Tutorial10分鐘
Quiz3 個練習
Module 2 quiz20分鐘
Quiz for module 2 assignment - WebPivotTable0
Quiz for module 2 assignment - Pivot4J26分鐘
3
完成時間(小時)
完成時間為 4 小時

Data Warehouse Design Practices and Methodologies

This module emphasizes data warehouse design skills. Now that you understand the multidimensional representation used by business analysts, you are ready to learn about data warehouse design using a relational database. In practice, the multidimensional representation used by business analysts must be derived from a data warehouse design using a relational DBMS.You will learn about design patterns, summarizability problems, and design methodologies. You will apply these concepts to mini case studies about data warehouse design. At the end of the module, you will have created data warehouse designs based on data sources and business needs of hypothetical organizations....
Reading
6 個視頻 (總計 47 分鐘), 8 個閱讀材料, 2 個測驗
Video6 個視頻
Table design patterns video lecture8分鐘
Summarizability patterns for dimension tables video lecture6分鐘
Summarizability patterns for dimension-fact relationships video lecture6分鐘
Mini case for data warehouse design video lecture8分鐘
Data warehouse design methodologies video lecture8分鐘
Reading8 個閱讀材料
Powerpoint lecture notes for lesson 110分鐘
Powerpoint lecture notes for lesson 210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
Practice problems for module 310分鐘
Optional textbook reading material10分鐘
Quiz1 個練習
Module 3 quiz20分鐘
4
完成時間(小時)
完成時間為 2 小時

Data Integration Concepts, Processes, and Techniques

Module 4 extends your background about data warehouse development. After learning about schema design concepts and practices, you are ready to learn about data integration processing to populate and refresh a data warehouse. The informational background in module 4 covers concepts about data sources, data integration processes, and techniques for pattern matching and inexact matching of text. Module 4 provides a context for the software skills that you will learn in module 5. ...
Reading
6 個視頻 (總計 48 分鐘), 7 個閱讀材料, 1 個測驗
Video6 個視頻
Change data concepts video lecture7分鐘
Data cleaning tasks video lecture5分鐘
Pattern matching with regular expressions video lecture9分鐘
Matching and consolidation video lecture8分鐘
Quasi identifiers and distance functions for entity matching video lecture7分鐘
Reading7 個閱讀材料
Powerpoint lecture notes for lesson 110分鐘
Powerpoint lecture notes for lesson 210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
Optional reading material10分鐘
Quiz1 個練習
Module 4 quiz30分鐘
4.4
126 個審閱Chevron Right
職業方向

20%

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

熱門審閱

創建者 EKDec 16th 2015

Very nice class, well thought out and organized. The assignments are interesting and the practice assignments are relevant. Getting hands on on Pentaho was a big plus.

創建者 MHDec 13th 2016

Good learning for Data integration and ETL learning. How data from source to target table transform over the business requirement to be ready for processing

講師

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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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