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Data Warehouse Concepts, Design, And Data Integration Course

About The Courses

A Data Warehouse is subject oriented, integrated, nonvolatile, and time variant collection of data, generally in the form of relational schemas. Data warehouse is specifically designed for query and analysis purpose. For gathering data and distributing it to business users, data warehouse environment employ various techniques such as extraction, transformations, and loading of data or online analytical processing and much more applications.

This course is designed to teach you about various concepts of designing data warehouses and data integration process. You will learn about the data models, architectures, multidimensional models, and management techniques for data warehouse development. This course will teach you skills to create data warehouse design that reflect the design methodologies and goals of the organization. You will work with some open source software and perform operations on pivot tables to satisfy business analysis request. The main topics included in the course are:

  • Data Warehouse Concepts and Architectures
  • Multidimensional Data Representation and Manipulation
  • Data Warehouse Design Practices and Methodologies
  • Data Integration Concepts, Processes, and Techniques
  • Architectures and features of Data Integration Tools


This course is beneficial for the IT professionals who want to become data warehouse developers and administrators. You will create data warehouse designs and data integration workflow that suits the business intelligence requirements of organizations. This will help you to gain practical knowledge of the concepts, design and data integration process of data warehouses.

So, register yourself with ProLearning hub and join the course ‘Data warehouse: Concepts, design and data integration’.

Learning Objectives:

  • Understand the data warehouse concepts and architectures.
  • Learn the best data warehouse design practices and techniques.
  • Understand various data integration workflows.
  • Acquire knowledge of multidimensional data representation and management techniques.
  • Learn skills to design and manage an efficient data warehouse.

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  1. Reply - October 19, 2017 at 10:25 am

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