Data warehousing

Data warehousing is a way of gathering and handling data from different sources to produce relevant industry insights. It is a combination of different methods and components which allow the calculated use of data. It is the core of the Business Intelligence system which is developed for the analysis and reporting of data.

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Data warehousing training course overview

In this course, you will learn about the concepts of data warehousing including its benefits, lifecycle of data in the warehouse, and the flow and structure of a data warehouse. You will also learn the applications, challenges and the future of data warehouse.

Overview

Skills

Learn about the concepts, benefits, lifecycle, and rules of a data warehouse.

Overview

Outcome

At the end of this course, you will be able to identify the various purposes of data warehousing and model data warehouses.

The registration process

Once you have completed our simplified enrolment process, you’ll receive an email confirmation with your payment receipt in your registered email ID. You can then access the entire content of the online student portal immediately by logging in to your account on our site. Should you require any assistance please reach out to us via email (support@greycampus.com) or via our online chat system.

The course curriculum

The curriculum for this Data warehousing training incorporates all updates to the certification exam. The following is a list of broad topics covered

  • Definition of Data Warehousing
  • History of Data Warehousing
  • Advantages of Data Warehousing
  • Disadvantages of Data Warehousing
  • Benefits of Data Warehousing
  • Concepts of Data Warehousing
  • Online Transaction Processing
  • Data Store
  • Data Mart
  • Design Schemas
  • Meta Data
  • Data Webhouse and Data Warehousing Queries
  • Extract, Transform, Load
  • Data Warehouse Lifecycle
  • Design
  • Prototype
  • Deploy
  • Operate
  • Enhance
  • Data Warehouse Cycle of Cycles
  • First Loop
  • Second Loop
  • Third Loop
  • Fourth Loop
  • Related Factors
  • Rules of Data Warehousing
  • Introduction to Data Warehouse Architecture
  • Key Components
  • Benefits of Data Warehouse Architecture
  • Typical Architecture of Data Warehousing
  • Common Architecture
  • Data Warehouse Information Flow
  • Importance of Data Modeling
  • Introduction to Data Modeling Techniques
  • Entity-Relationship Modeling
  • Limitations of ER
  • Dimensional Modeling
  • Benefits of Dimensional Modeling
  • Introduction to Data Warehouse Applications
  • Retail Industry
  • Manufacturing and Distribution
  • Bank
  • Insurance Company
  • Health Care Providers
  • Government Agencies
  • Internet Companies
  • Telecommunications
  • Sports
  • Challenges to Data Warehousing
  • Ensuring Data Quality
  • Ensuring Performance
  • Testing the Data Warehouse
  • Reconciliation of Data
  • User Acceptance
  • Future of Data Warehousing