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Oracle Data Warehouse Tuning for 10g
Oracle Data Warehouse Tuning for 10g
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"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 Tuning a data warehouse database focuses on large transactions, mostly requiring what is known as throughput. Throughput is the passing of large amounts of information through a server, n…
  • Leidėjas:
  • ISBN-10: 1555583350
  • ISBN-13: 9781555583354
  • Formatas: 19 x 23.4 x 3.1 cm, minkšti viršeliai
  • Kalba: Anglų

Oracle Data Warehouse Tuning for 10g (el. knyga) (skaityta knyga) | knygos.lt

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"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

Tuning a data warehouse database focuses on large
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.
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  • Autorius: Gavin JT Powell
  • Leidėjas:
  • ISBN-10: 1555583350
  • ISBN-13: 9781555583354
  • Formatas: 19 x 23.4 x 3.1 cm, minkšti viršeliai
  • Kalba: Anglų

"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

Tuning a data warehouse database focuses on large
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.

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