This document describes the architecture of Amazon's business data warehouse. It is divided into three functional areas: a query server with 24.7TB of data, click history servers with 18.5TB of data, and an ETL cluster with 7.8TB of data. The total storage capacity across the three databases is over 50TB. Amazon relies on third party companies like Hewlett Packard to provide the necessary server infrastructure to store and process large amounts of customer data.

1. Business Writing
How Amazon Business Works
S1180056
Minoru Kobayashi

2. Menu
 Amazon Server
 Fucntions
 Query Server
 The Click History Servers
 ELT cluster
 Conclusion

3. Amazon Server
 Amazon core system is Lynux-based.
 It has three database.
 The each database’s total capacity is 7.8TB , 18.5TB,
24.7TB.
 Data warehouse is made up of 28 hewlett packard
servers.

4. Functions
 Amazon’s data warehouse is divided into three
function
 1.Query
 2.Historical data
 3.ETL(Extract Transform Load)

5. Query Servers
 Query Server has 24.7TB.
 It contain 15TB of raw data in 2005.
->I guess it has more data.

6. The Click History Servers
 The Click History Servers has 18.5TB of raw data
 It contain 14TB of raw data in 2005.
->I guess it has more data.

7. ELT cluster
 ELT cluster has 7.8TB.
 It contain 5TB of raw data in 2005.
->I guess it has more data.

8. Conclusion
 Amazon’s service is supported by third party’s
production. For example, Hewlett Packard.
 Amazon have big server to process a lot of query and
keep many product’s information.
 Amazon has to administrate production in may
language.