Data warehouse notes pdf

  • 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
  • Before diving into the interview questions, let's begin by understanding the data warehouse's overview.
    A data warehouse is a system to collect and manage extensive data from multiple sources, such as transactional systems, log files, and external data sources.

What do data warehouse professionals need to know?

They have to understand that a data warehouse is not a one- size-fits-all proposition; they must get a clear understanding of the extraction of data from source systems, data transformations, data staging, data warehouse architecture, infra- structure, and the various methods of information delivery

What is a data warehouse management system?

All queries are issued to the data warehouse as if it is a single database, and the warehouse management system will handle the evaluation of the queries

Different techniques are used in data warehouses, all aimed at effective inte- gration of operational databases into an environment that enables strategic use of data

What is the difference between a data warehouse and a non-volatile data warehouse?

where a data warehouse can hold all addresses associated with a customer

Non-volatile: Once data is in the data warehouse, it will not change

So, historical data in a data warehouse should never be altered

data warehouse can be built using a top-down approach, a bottom-up approach, or a combination of both

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