![]() The target date for the data to be available in the system for the users.Resolving the scope of the project and the accomplishment to be performed.The technology, data, and the BI applications assemble at deployment Data warehouse Deployment Lifecycle Project scope and plan The organization should be able to move from wherever it is present now into a position where its data warehouse architecture should be able to support the analytics and business framework of a given choice. The companies invested in the vendor’s data warehouses architectures and an entire process of standardization was developed where different choices could be combined together ![]() The new architectures paved the path for the new products. You will also find a lot of useful topics about business intelligence including business intelligence architecture, business intelligence solutions, and business intelligence applications.Till the year 2011, the architecture of the data warehouses was built to enable the existence of vendor’s specific technologies. ![]() The concept of business intelligence is usually missed with data warehouse therefore in this section, we explain the definition of business intelligence and how it differs from the data warehouse. Business intelligence often uses data provided by the data warehouses. Business intelligenceīusiness intelligence is a decision support system (DSS) that aims to support better business decision-making. In this section, you will find all information on ETL architecture, ETL process, ETL tools and etc. ETL – extract, transform and loadĮTL plays a crucial role in data warehousing environment. You will learn various data warehouse design methodologies including bottom-up, top-down and hybrid design. This section covers one of the most important topic in data warehousing: data warehouse design. In this section, you will find all fundamental data warehousing concepts including star schema, snowflake schema, dimension table, fact table, logical data model, physical data model, slowly changing dimension, etc. In addition, you will know how to differentiate between data warehouse and data mart. We also examine federated data warehouse architecture that has been the most practical approach for building a data warehouse system. This section discusses various data warehouse architectures including Bill Inmon’s enterprise data warehouse and Ralph Kimball’s dimensional data warehouse. What is data warehouse? Well, there are several popular data warehousing definitions from well-known data warehousing authors such as Bill Inmon and Ralph Kimball.Įach data warehouse definition has its own approach however they share the same desirable features that have enterprise focus so that its data warehouse provides strategic information to help the business make a decision faster and more effectively based on facts. Let’s start with a simple question about data warehouse definition. We provide you with various data warehouse tutorials including data warehouse definition, architecture, and design. If you are a system analyst, data analyst, database administrator, programmer, or project leader looking for a data warehouse tutorial, this section is designed especially just for you.
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