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Heures pour terminer

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Recommandé : 7 hours/week...
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Compétences que vous acquerrez

Data WarehousingMaterialized ViewData WarehouseSQL
100% online

100% online

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Dates limites flexibles

Dates limites flexibles

Réinitialisez les dates limites selon votre disponibilité.
Heures pour terminer

Approx. 17 heures pour terminer

Recommandé : 7 hours/week...
Langues disponibles

Anglais

Sous-titres : Anglais...

Programme du cours : ce que vous apprendrez dans ce cours

Semaine
1
Heures pour terminer
4 heures pour terminer

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 vidéos (Total 44 min), 14 lectures, 1 quiz
Video7 vidéos
Course objectives video lecture4 min
Course topics and assignments video lecture5 min
DBMS extensions video lecture8 min
Relational database schema patterns video lecture8 min
Colorado Education Data Warehouse video lecture7 min
Data warehouse standards in health care video lecture7 min
Reading14 lectures
Powerpoint lecture notes for lesson 110 min
Powerpoint lecture notes for lesson 210 min
Optional textbook10 min
Powerpoint lecture notes for lesson 310 min
Powerpoint lecture notes for lesson 410 min
Powerpoint lecture notes for lesson 510 min
Powerpoint lecture notes for lesson 610 min
Overview of software requirements10 min
Overview of database software installation10 min
Oracle installation notes10 min
Making connections to a local Oracle database10 min
SQL statements for Store Sales tables10 min
SQL statements for Inventory DW tables10 min
Optional textbook reading material10 min
Quiz1 exercice pour s'entraîner
Module 1 quiz30 min
Semaine
2
Heures pour terminer
7 heures pour terminer

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 vidéos (Total 39 min), 12 lectures, 3 quiz
Video5 vidéos
SQL CUBE operator video lecture7 min
SQL ROLLUP operator video lecture7 min
SQL GROUPING SETS operator video lecture7 min
Variations of subtotal operators video lecture9 min
Reading12 lectures
Powerpoint lecture notes for lesson 110 min
Additional problems for lesson 110 min
Powerpoint lecture notes for lesson 210 min
Additional problems for lesson 210 min
Powerpoint lecture notes for lesson 310 min
Additional problems for lesson 310 min
Powerpoint lecture notes for lesson 410 min
Additional problems for lesson 410 min
Powerpoint lecture notes for lesson 510 min
Additional problems for lesson 510 min
Optional textbook reading material10 min
Assignment notes10 min
Quiz2 exercices pour s'entraîner
Module 2 quiz20 min
Quiz for module 2 assignment4 min
Semaine
3
Heures pour terminer
7 heures pour terminer

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 vidéos (Total 47 min), 12 lectures, 3 quiz
Video5 vidéos
Extended Syntax and Ranking Functions video lecture7 min
Window Comparison I video lecture8 min
Window Comparisons II video lecture10 min
Functions for Ratio Comparisons video lecture10 min
Reading12 lectures
Powerpoint lecture notes for lesson 110 min
Additional problems for lesson 110 min
Powerpoint lecture notes for lesson 210 min
Additional problems for lesson 210 min
Powerpoint lecture notes for lesson 310 min
Additional problems for lesson 310 min
Powerpoint lecture notes for lesson 410 min
Additional problems for lesson 410 min
Powerpoint lecture notes for lesson 510 min
Additional problems for lesson 510 min
Optional reading material10 min
Assignment notes10 min
Quiz2 exercices pour s'entraîner
Module 3 quiz20 min
Quiz for module 3 assignment38 min
Semaine
4
Heures pour terminer
6 heures pour terminer

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 vidéos (Total 54 min), 11 lectures, 3 quiz
Video5 vidéos
Materialized view definition and processing video lecture9 min
Query Rewriting Rules video lecture8 min
Query Rewriting Examples video lecture10 min
Oracle Tools for Data Integration video lecture14 min
Reading11 lectures
Powerpoint lecture notes for lesson 110 min
Additional problems for lesson 110 min
Powerpoint lecture notes for lesson 210 min
Additional problems for lesson 210 min
Powerpoint lecture notes for lesson 310 min
Powerpoint lecture notes for lesson 410 min
Additional problems for lesson 410 min
Powerpoint lecture notes for lesson 510 min
Additional problems for lesson 510 min
Optional textbook reading material10 min
Assignment notes10 min
Quiz2 exercices pour s'entraîner
Module 4 quiz30 min
Quiz for module 4 assignment38 min
4.6
Orientation de carrière

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Avantage de carrière

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Promotion de carrière

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Meilleurs avis

par 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.

par 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.

Enseignant

Avatar

Michael Mannino

Associate Professor
Business School, University of Colorado Denver

À propos de 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....

À propos de la Spécialisation Data Warehousing for Business Intelligence

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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