Data warehousing concepts tutorial

  • Basic elements of data warehouse

    The 8 steps to building a successful data warehouse

    1. Defining Business Requirements
    2. Setting Up Physical Environments
    3. Introducing Data Modelling
    4. Choosing Your ETL Solution
    5. Online Analytics Processing (OLAP) Cube
    6. Creating A Front End
    7. Optimising Queries
    8. Rolling Out The End Product

  • Basic elements of data warehouse

    As data warehousing stores large amounts of data from diverse sources, such as a transactional system, consistently, each source will generate outcomes synchronized with other sources.
    This guarantees improved quality and consistency of data..

  • Basic elements of data warehouse

    Fundamentals of Data Warehouses.
    Three types of common data transformations within adata warehouse are: Integration – It acts as an endpoint for data from various sources such as APIs and databases.
    Cleaning – Data from various sources then gets cleaned prior to consolidation to ensure data reliability..

A data warehouse is constructed by integrating data from multiple heterogeneous sources. It supports analytical reporting, structured and/or ad hoc queries  ConceptsDWH - Data MartingDWH - Metadata ConceptsPDF Version

What is data warehousing?

A data warehouse is constructed by integrating data from multiple heterogeneous sources

It supports analytical reporting, structured and/or ad hoc queries and decision making

This tutorial adopts a step-by-step approach to explain all the necessary concepts of data warehousing

What will I learn in a data warehouse course?

It also explains how the data is managed with in the Data Warehouse and explains the process of reading and writing data onto the Warehouse

Later in the course you would also learn the basics of Data Modelling and how to start with it logically and physically


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