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- Author: Gavin JT Powell
- Publisher: Digital Press
- ISBN-10: 1555583350
- ISBN-13: 9781555583354
- Format: 19 x 23.4 x 3.1 cm, minkšti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
Reviews
Description
"This book should satisfy those who want a different perspective than the official Oracle documentation. It will cover all important aspects of a data warehouse while giving the necessary examples to make the reading a lively experience."
- Tim Donar, Author and Systems Architect
for Enterprise Data Warehouses
transactions, mostly requiring what is known as throughput. Throughput is the passing of large amounts of information through a server, network
and Internet environment, backwards and forwards, constantly! The ultimate objective of a data warehouse is the production of meaningful and useful reporting, from historical and archived data. The trick is to make the reports print within an acceptable time frame. A data model contains tables and relationships between tables. Tuning a data model involves Normalization and Denormalization. Different approaches are required depending on the application, such as OLTP or a Data Warehouse. Inappropriate database design can make SQL code impossible to tune. Poor data modeling can have a most profound effect on database performance since all SQL code is constructed from the data model.
EXTRA 10 % discount with code: EXTRA
The promotion ends in 22d.20:02:11
The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Author: Gavin JT Powell
- Publisher: Digital Press
- ISBN-10: 1555583350
- ISBN-13: 9781555583354
- Format: 19 x 23.4 x 3.1 cm, minkšti viršeliai
- Language: English English
"This book should satisfy those who want a different perspective than the official Oracle documentation. It will cover all important aspects of a data warehouse while giving the necessary examples to make the reading a lively experience."
- Tim Donar, Author and Systems Architect
for Enterprise Data Warehouses
transactions, mostly requiring what is known as throughput. Throughput is the passing of large amounts of information through a server, network
and Internet environment, backwards and forwards, constantly! The ultimate objective of a data warehouse is the production of meaningful and useful reporting, from historical and archived data. The trick is to make the reports print within an acceptable time frame. A data model contains tables and relationships between tables. Tuning a data model involves Normalization and Denormalization. Different approaches are required depending on the application, such as OLTP or a Data Warehouse. Inappropriate database design can make SQL code impossible to tune. Poor data modeling can have a most profound effect on database performance since all SQL code is constructed from the data model.
Reviews