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Software Development / Big Data & Analytics

Data Warehousing Complete Certification Course

Become a valued member of your organization by learning the flow, architecture, modeling, and applications of Data Warehousing.

Description

This course would be beneficial to 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, and IT professionals wanting to learn more about data storage, Data Warehousing modeling, or Data Warehousing applications.


A Data Warehouse can be described as a database designed primarily for data analysis and reporting processes. A Data Warehouse is the central repository of all data, created through the integration and collation of data from multiple sources. Data Warehouses store historical and present data for easy use when running trend reports. 


This course would be beneficial to 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, and IT professionals wanting to learn more about data storage, Data Warehousing modeling, or Data Warehousing applications.

Why register?

  • Easy and affordable.
  • Learning about Data Warehousing technologies has never been more affordable.
  • Latest industry trends are explained.
  • Acquire valuable skills and get updated about the industry's latest trends right here. Today.
  • Learn at your own pace. Find everything right here, when you need it, and from wherever you are.


This course validates your knowledge of specific methods, models, and/or tools. This is essential to professionals in order to be updated on the latest data trends, and to add to their Data Warehousing toolbox.
The industry is facing a bold new world with the amazing developments in Data Warehousing technology, and the challenges and the opportunities that this presents are unprecedented. 


What will you learn?

  • Learn the important concepts, tools, processes, and uses of Data Warehousing.
  • Learn about the benefits of implementing a Data Warehousing systems.
  • Examine Data Warehousing architecture, flow, modeling, and applications of use.
  • Explore the challenges faced within Data Warehouse use.


The Data Warehousing Complete Certification Course serves as a complete introductory guide for anyone looking to grasp a better understanding of Data Warehousing concepts and their practical application in any environment.
The Art of Service's introductory Data Warehousing training helps IT practitioners develop the skills that are crucial, as businesses embark on this massive transformation. It provides an industry credential for IT professionals to help them transform into the world of Data Warehousing.
This training enables you to move both the industry and business forward, and to quickly take advantage of the benefits that Data Warehousing applications present.

Course Outline
The topics covered in this course are:

  • Introduction to Data Warehousing
  • OLTP, OLAP, and Other Terminologies
  • Lifecycle and the Rules of Data Warehousing
  • Data Warehousing Architecture and Flow
  • Data Warehousing Modeling
  • Data Warehousing Applications
  • Challenges and the Future of Data Warehousing
Full details

Curriculum

  • Introduction to Data Warehousing
    Introduction and Objectives
    In this lecture, we'll discuss some objectives aimed at showing what you can expect to learn from this course. Section Outline 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
    0:31
    Definition of Data Warehousing
    4:12
    History of Data Warehousing
    4:49
    Advantages of Data Warehousing
    2:24
    Disadvantages of Data Warehousing
    3:09
    Benefits of Data Warehousing
    2:12
    Concepts of Data Warehousing
    4:11
    Reading Section - Chapter 1
  • OLTP, OLAP and Other Terminologies
    Introduction and Objectives
    In this lecture, we'll discuss some objectives aimed at showing what you can expect to learn from this course. Section Outline Lecture 10: Online Transaction Processing Lecture 11: Data Store Lecture 12: Data Mart Lecture 13: Design Schemas Lecture 14: Meta Data Lecture 15: Data Webhouse and Data Warehouse Queries Lecture 16: Extract, Transform, Load
    0:38
    Online Transaction Processing
    8:43
    Data Store
    0:54
    Data Mart
    3:25
    Design Schemas
    7:59
    Meta Data
    3:20
    Data Webhouse and Data Warehousing Queries
    0:52
    Extract, Transform, Load
    6:56
    Reading Section - Chapter 2
  • Lifecycle and Rules of Data Warehouse
    Introduction and Objectives
    In this lecture, we'll discuss some objectives aimed at showing what you can expect to learn from this course. Section Outline Lecture 19: Data Warehouse Lifecycle Lecture 20: Design Lecture 21: Prototype Lecture 22: Deploy Lecture 23: Operate Lecture 24: Enhance Lecture 25: Data Warehouse Cycle of Cycles Lecture 26: First Loop Lecture 27: Second Loop Lecture 28: Third Loop Lecture 29: Fourth Loop Lecture 30: Related Factors Lecture 31: Rules of Data Warehouse
    0:26
    Data Warehouse Lifecycle
    0:37
    Design
    1:06
    Prototype
    1:01
    Deploy
    1:17
    Operate
    0:31
    Enhance
    0:35
    Data Warehouse Cycle of Cycles
    0:31
    First Loop
    0:39
    Second Loop
    1:00
    Third Loop
    0:25
    Fourth Loop
    0:29
    Related Factors
    3:22
    Rules of Data Warehouse
    6:52
    Reading Section - Chapter 3
  • Data Warehouse Architecture and Flow
    Introduction and Objectives
    In this lecture, we'll discuss some objectives aimed at showing what you can expect to learn from this course. Section Outline Lecture 34: Introduction to Data Warehouse Architecture Lecture 35: Key Components Lecture 36: Benefits of Data Warehouse Architecture Lecture 37: Typical Architecture of Data Warehousing Lecture 38: Common Architecture Lecture 39: Data Warehouse Information Flow
    0:26
    Introduction to Data Warehouse Architecture
    0:42
    Key Components
    6:08
    Benefits of Data Warehouse Architecture
    1:19
    Typical Architecture of Data Warehousing
    6:33
    Common Architecture
    2:47
    Data Warehouse Information Flow
    0:44
    Reading Section - Chapter 4
  • Data Warehouse Modeling
    Introduction and Objectives
    In this lecture, we'll discuss some objectives aimed at showing what you can expect to learn from this course. Section Outline Lecture 42: Importance of Data Modeling Lecture 43: Introduction to Data Modeling Techniques Lecture 44: Entity-Relationship Modeling Lecture 45: Limitations of ER Lecture 46: Dimensional Modeling Lecture 47: Benefits of Dimensional Modeling
    0:25
    Importance of Data Modeling
    3:18
    Introduction to Data Modeling Techniques
    0:58
    Entity-Relationship Modeling
    7:23
    Limitations of ER
    2:07
    Dimensional Modeling
    4:11
    Benefits of Dimensional Modeling
    2:08
    Reading Section- Chapter 5
  • Data Warehouse Applications
    Introduction and Objectives
    In this lecture, we'll discuss some objectives aimed at showing what you can expect to learn from this course. Section Outline Lecture 50: Introduction to Data Warehouse Application Lecture 51: Retail Industry Lecture 52: Manufacturing and Distribution Lecture 53: Bank Lecture 54: Insurance Company Lecture 55: Health Care Providers Lecture 56: Government Agencies Lecture 57: Internet Companies Lecture 58: Telecommunications Lecture 59: Sports
    0:26
    Introduction to Data Warehouse Application
    2:41
    Retail Industry
    3:35
    Manufacturing and Distribution
    3:02
    Bank
    1:48
    Insurance Company
    3:34
    Health Care Providers
    5:16
    Government Agencies
    3:16
    Internet Companies
    3:28
    Telecommunications
    3:59
    Sports
    1:00
    Reading Section - Chapter 6
  • Challenges and Future of Data Warehouse
    Introduction and Objectives
    In this lecture, we'll discuss some objectives aimed at showing what you can expect to learn from this course. Section Outline Lecture 62: Challenges to Data Warehousing Lecture 63: Ensuring Data Quality Lecture 64: Ensuring Performance Lecture 65: Testing the Data Warehouse Lecture 66: Reconciliation of Data Lecture 67: User Acceptance Lecture 68: Future of Data Warehouse
    0:26
    Challenges to Data Warehousing
    0:45
    Ensuring Data Quality
    2:40
    Ensuring Performance
    3:06
    Testing the Data Warehouse
    2:02
    Reconciliation of Data
    2:00
    User Acceptance
    1:15
    Future of Data Warehouse
    10:34
    Reading Section - Chapter 7
  • Course Resources
    Data Warehousing Course Overview
    Data Warehousing Course Syllabus
    Data Warehousing Course Workbook

Skills

  • Data Store
  • Data Warehousing

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