Introduction to Datwarehouse

 Why Do You Need a Data Warehouse? 

A data warehouse is the most valuable asset of your BI team 

How it works: 

  • Data are extracted on a periodic basis from source systems and moved to a dedicated server that contains the data warehouse 
  • During this process, the data are cleaned, formatted, validated, reorganized, summarized, and integrated with other sources 

A data warehouse delivers value to companies through:

  • The generation of scheduled reports 
  • Packaged analytical solutions 
  • Adhoc reporting and analysis 
  • Dynamic visualization
  • Storage of historical data 
  • Data mining Choosing a Data Warehouse


There are many factors to consider when choosing a data warehouse: 

  • Assets: generation of big data reports requires expensive servers 
  • People: skilled database administrators are needed to manage data integrity 
  • Cost: interacting with big data can be expensive, slow, and inefficient
  • Scale: how much storage is needed and will storage needs change over time?
  • Security: how is data protected to ensure availability and durability?

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