课程信息
4.4
631 个评分
126 个审阅
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100% 在线

立即开始,按照自己的计划学习。
可灵活调整截止日期

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根据您的日程表重置截止日期。
完成时间(小时)

完成时间大约为19 小时

建议:5 hours/week...
可选语言

英语(English)

字幕:英语(English)

您将获得的技能

Extraction, Transformation And Loading (ETL)PentahoData IntegrationData Warehouse
100% 在线

100% 在线

立即开始,按照自己的计划学习。
可灵活调整截止日期

可灵活调整截止日期

根据您的日程表重置截止日期。
完成时间(小时)

完成时间大约为19 小时

建议:5 hours/week...
可选语言

英语(English)

字幕:英语(English)

教学大纲 - 您将从这门课程中学到什么

1
完成时间(小时)
完成时间为 4 小时

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 个视频 (总计 53 分钟), 15 个阅读材料, 1 个测验
Video8 个视频
Course objectives video lecture4分钟
Course topics and assignments video lecture4分钟
Motivation and characteristics video lecture8分钟
Learning effects for data warehouse development video lecture9分钟
Data warehouse architectures and maturity video lecture10分钟
Data Warehouse Examples video lecture9分钟
Employment opportunities video lecture6分钟
Reading15 个阅读材料
Powerpoint lecture notes for lesson 110分钟
Optional textbook10分钟
Powerpoint lecture notes for lesson 210分钟
Powerpoint lecture notes for lesson 310分钟
Powerpoint lecture notes for lesson 410分钟
Powerpoint lecture notes for lesson 510分钟
Powerpoint lecture notes for lesson 610分钟
Powerpoint lecture notes for lesson 710分钟
Overview of software requirements10分钟
Pivot4J installation10分钟
Pentaho Data Integration installation10分钟
Overview of database software installation10分钟
Oracle installation notes10分钟
Making connections to a local Oracle database10分钟
Optional textbook reading material10分钟
Quiz1 个练习
Module 1 quiz30分钟
2
完成时间(小时)
完成时间为 7 小时

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 个视频 (总计 45 分钟), 9 个阅读材料, 2 个测验
Video7 个视频
Data cube operators video lecture6分钟
Overview of Microsoft MDX video lecture6分钟
Microsoft MDX statements video lecture6分钟
Overview of Pivot4J video lecture6分钟
Overview of WebPivotTable video lecture4分钟
Pivot4J software demonstration video lecture5分钟
Reading9 个阅读材料
Powerpoint lecture notes for lesson 110分钟
Powerpoint lecture notes for lesson 210分钟
Powerpoint lecture notes for lesson 310分钟
Powerpoint lecture notes for lesson 410分钟
Powerpoint lecture notes for lesson 510分钟
Powerpoint lecture notes for lesson 610分钟
Optional textbook reading material10分钟
Pentaho Pivot4J tutorial10分钟
WebPivotTable Tutorial10分钟
Quiz3 个练习
Module 2 quiz20分钟
Quiz for module 2 assignment - WebPivotTable0
Quiz for module 2 assignment - Pivot4J26分钟
3
完成时间(小时)
完成时间为 4 小时

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 个视频 (总计 47 分钟), 8 个阅读材料, 2 个测验
Video6 个视频
Table design patterns video lecture8分钟
Summarizability patterns for dimension tables video lecture6分钟
Summarizability patterns for dimension-fact relationships video lecture6分钟
Mini case for data warehouse design video lecture8分钟
Data warehouse design methodologies video lecture8分钟
Reading8 个阅读材料
Powerpoint lecture notes for lesson 110分钟
Powerpoint lecture notes for lesson 210分钟
Powerpoint lecture notes for lesson 310分钟
Powerpoint lecture notes for lesson 410分钟
Powerpoint lecture notes for lesson 510分钟
Powerpoint lecture notes for lesson 610分钟
Practice problems for module 310分钟
Optional textbook reading material10分钟
Quiz1 个练习
Module 3 quiz20分钟
4
完成时间(小时)
完成时间为 2 小时

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 个视频 (总计 48 分钟), 7 个阅读材料, 1 个测验
Video6 个视频
Change data concepts video lecture7分钟
Data cleaning tasks video lecture5分钟
Pattern matching with regular expressions video lecture9分钟
Matching and consolidation video lecture8分钟
Quasi identifiers and distance functions for entity matching video lecture7分钟
Reading7 个阅读材料
Powerpoint lecture notes for lesson 110分钟
Powerpoint lecture notes for lesson 210分钟
Powerpoint lecture notes for lesson 310分钟
Powerpoint lecture notes for lesson 410分钟
Powerpoint lecture notes for lesson 510分钟
Powerpoint lecture notes for lesson 610分钟
Optional reading material10分钟
Quiz1 个练习
Module 4 quiz30分钟
4.4
126 个审阅Chevron Right
职业方向

20%

完成这些课程后已开始新的职业生涯
工作福利

83%

通过此课程获得实实在在的工作福利

热门审阅

创建者 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.

创建者 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

讲师

Avatar

Michael Mannino

Associate Professor
Business School, University of Colorado Denver

关于 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....

关于 Data Warehousing for Business Intelligence 专项课程

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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