Data Warehousing

Data Warehousing, available at $39.99, has an average rating of 2.9, with 75 lectures, 7 quizzes, based on 191 reviews, and has 1191 subscribers.

You will learn about Be introduced to the data warehouse, its advantages and disadvantages. Know the concepts, lifecycle and rules of the data warehouse. Be informed of the importance and the techniques of data warehouse modeling. Recognize the different applications of data warehousing. Look forward to the future of the data warehouse. This course is ideal for individuals who are Recent graduates looking to get a foothold in the IT Industry. or Finance professionals wanting to learn about Data Warehouses for reporting and analysis purposes, businesses looking to update and improve on data storage, analysis, and reporting processes. or IT professionals wanting to learn more about data storage, Data Warehousing modeling, or Data Warehousing applications. It is particularly useful for Recent graduates looking to get a foothold in the IT Industry. or Finance professionals wanting to learn about Data Warehouses for reporting and analysis purposes, businesses looking to update and improve on data storage, analysis, and reporting processes. or IT professionals wanting to learn more about data storage, Data Warehousing modeling, or Data Warehousing applications.

Enroll now: Data Warehousing

Summary

Title: Data Warehousing

Price: $39.99

Average Rating: 2.9

Number of Lectures: 75

Number of Quizzes: 7

Number of Published Lectures: 65

Number of Curriculum Items: 82

Number of Published Curriculum Objects: 65

Original Price: $39.99

Quality Status: approved

Status: Live

What You Will Learn

Be introduced to the data warehouse, its advantages and disadvantages.

Know the concepts, lifecycle and rules of the data warehouse.

Be informed of the importance and the techniques of data warehouse modeling.

Recognize the different applications of data warehousing.

Look forward to the future of the data warehouse.

Who Should Attend

Recent graduates looking to get a foothold in the IT Industry.

Finance professionals wanting to learn about Data Warehouses for reporting and analysis purposes, businesses looking to update and improve on data storage, analysis, and reporting processes.

IT professionals wanting to learn more about data storage, Data Warehousing modeling, or Data Warehousing applications.

Target Audiences

Recent graduates looking to get a foothold in the IT Industry.

Finance professionals wanting to learn about Data Warehouses for reporting and analysis purposes, businesses looking to update and improve on data storage, analysis, and reporting processes.

IT professionals wanting to learn more about data storage, Data Warehousing modeling, or Data Warehousing applications.

Discover the latest data storage trend implemented by leading IT Professionals around the globe, known as Data Warehousing.

A data warehouse (DW) is a database used for reporting. The data is uploaded from the operational systems and may pass through an operational data store for additional processes before it is used in the data warehouse for reporting. This introductory course will discuss its benefits and concepts, the twelve rules which should be followed, the lifecycle of data that is warehoused, the flow and the architecture of data warehouse. It will also teach learners the applications of data warehousing, its challenges and its future.

Course Curriculum

Chapter 1: Introduction to Data Warehousing

Lecture 1: Introduction and Objectives

Lecture 2: Definition of Data Warehousing

Lecture 3: History of Data Warehousing

Lecture 4: Advantages of Data Warehousing

Lecture 5: Disadvantages of Data Warehousing

Lecture 6: Benefits of Data Warehousing

Lecture 7: Concepts of Data Warehousing

Chapter 2: OLTP, OLAP and Other Terminologies

Lecture 1: Introduction and Objectives

Lecture 2: Online Transaction Processing

Lecture 3: Data Store

Lecture 4: Data Mart

Lecture 5: Design Schemas

Lecture 6: Meta Data

Lecture 7: Data Webhouse and Data Warehousing Queries

Lecture 8: Extract, Transform, Load

Chapter 3: Lifecycle and Rules of Data Warehouse

Lecture 1: Introduction and Objectives

Lecture 2: Data Warehouse Lifecycle

Lecture 3: Design

Lecture 4: Prototype

Lecture 5: Deploy

Lecture 6: Operate

Lecture 7: Enhance

Lecture 8: Data Warehouse Cycle of Cycles

Lecture 9: First Loop

Lecture 10: Second Loop

Lecture 11: Third Loop

Lecture 12: Fourth Loop

Lecture 13: Related Factors

Lecture 14: Rules of Data Warehouse

Chapter 4: Data Warehouse Architecture and Flow

Lecture 1: Introduction and Objectives

Lecture 2: Introduction to Data Warehouse Architecture

Lecture 3: Key Components

Lecture 4: Benefits of Data Warehouse Architecture

Lecture 5: Typical Architecture of Data Warehousing

Lecture 6: Common Architecture

Lecture 7: Data Warehouse Information Flow

Chapter 5: Data Warehouse Modeling

Lecture 1: Introduction and Objectives

Lecture 2: Importance of Data Modeling

Lecture 3: Introduction to Data Modeling Techniques

Lecture 4: Entity-Relationship Modeling

Lecture 5: Limitations of ER

Lecture 6: Dimensional Modeling

Lecture 7: Benefits of Dimensional Modeling

Chapter 6: Data Warehouse Applications

Lecture 1: Introduction and Objectives

Lecture 2: Introduction to Data Warehouse Application

Lecture 3: Retail Industry

Lecture 4: Manufacturing and Distribution

Lecture 5: Bank

Lecture 6: Insurance Company

Lecture 7: Health Care Providers

Lecture 8: Government Agencies

Lecture 9: Internet Companies

Lecture 10: Telecommunications

Lecture 11: Sports

Chapter 7: Challenges and Future of Data Warehouse

Lecture 1: Introduction and Objectives

Lecture 2: Challenges to Data Warehousing

Lecture 3: Ensuring Data Quality

Lecture 4: Ensuring Performance

Lecture 5: Testing the Data Warehouse

Lecture 6: Reconciliation of Data

Lecture 7: User Acceptance

Lecture 8: Future of Data Warehouse

Chapter 8: Course Resources

Lecture 1: Data Warehousing Glossary of Terms

Chapter 9: Data Warehousing Certification

Lecture 1: Final Exam

Lecture 2: Conclusion – Final Lecture

Instructors

The Art Of Service
Quality education for Career Driven IT Professionals

Rating Distribution

1 stars: 44 votes

2 stars: 23 votes

3 stars: 51 votes

4 stars: 42 votes

5 stars: 31 votes

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