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Datastage Learners

Datastage,Datawarehouse concepts,Unix and Oracle. Thursday, August 19, 2010. Overview of Data Warehousing with Materialized Views. Typically, data flows from one or more online transaction processing (OLTP) databases into a data warehouse on a monthly, weekly, or daily basis. The data is normally processed in a staging file. The summaries or aggregates that are referred to in this book and in literature on data warehousing are created in Oracle using a schema object called a materialized view. Organizati...

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Datastage,Datawarehouse concepts,Unix and Oracle. Thursday, August 19, 2010. Overview of Data Warehousing with Materialized Views. Typically, data flows from one or more online transaction processing (OLTP) databases into a data warehouse on a monthly, weekly, or daily basis. The data is normally processed in a staging file. The summaries or aggregates that are referred to in this book and in literature on data warehousing are created in Oracle using a schema object called a materialized view. Organizati...

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Datastage Learners | vpeerds.blogspot.com Reviews

https://vpeerds.blogspot.com

Datastage,Datawarehouse concepts,Unix and Oracle. Thursday, August 19, 2010. Overview of Data Warehousing with Materialized Views. Typically, data flows from one or more online transaction processing (OLTP) databases into a data warehouse on a monthly, weekly, or daily basis. The data is normally processed in a staging file. The summaries or aggregates that are referred to in this book and in literature on data warehousing are created in Oracle using a schema object called a materialized view. Organizati...

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vpeerds.blogspot.com

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Datastage Learners: SCD

http://vpeerds.blogspot.com/2010/08/scd.html

Datastage,Datawarehouse concepts,Unix and Oracle. Thursday, August 19, 2010. SCD is an acronym for Slowly changing dimensions. How do we track change in dimensions? Do we allow the dimensions to grow? These questions are to be answered by the business depending on its importance to the business. In general there are 3 types of SCD’s that track the growth of dimensions. These 3 would almost cover most of the business requirements. These are identified by what are called as business keys. Parallelism and P...

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Datastage Learners: Data Warehousing Glossary

http://vpeerds.blogspot.com/2010/08/data-warehousing-glossary.html

Datastage,Datawarehouse concepts,Unix and Oracle. Monday, August 16, 2010. One way of speeding up query performance. Facts are summed up for selected dimensions from the original fact table. The resulting aggregate table will have fewer rows, thus making queries that can use them go faster. Attributes represent a single type of information in a dimension. For example, year is an attribute in the Time dimension. The process of designing, building, and maintaining a data warehouse system. Data analysis tha...

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Datastage Learners: August 2010

http://vpeerds.blogspot.com/2010_08_01_archive.html

Datastage,Datawarehouse concepts,Unix and Oracle. Thursday, August 19, 2010. Overview of Data Warehousing with Materialized Views. Typically, data flows from one or more online transaction processing (OLTP) databases into a data warehouse on a monthly, weekly, or daily basis. The data is normally processed in a staging file. The summaries or aggregates that are referred to in this book and in literature on data warehousing are created in Oracle using a schema object called a materialized view. Organizati...

4

Datastage Learners: ETL

http://vpeerds.blogspot.com/2010/08/etl.html

Datastage,Datawarehouse concepts,Unix and Oracle. Thursday, August 19, 2010. Now, the question arises after identifying the facts and dimensions, how do we load them? The ETL process can be a 2-stage process. In the 1st stage, an intermediary set of tables called staging tables are loaded. In the 2nd stage the dimensions and facts are loaded. The staging tables contain cleansed data. Labels: Data Warehouse Concepts. Subscribe to: Post Comments (Atom). Parallelism and Partitioning in Data Warehouses.

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Datastage Learners: Contrasting OLTP and Data Warehousing Environments

http://vpeerds.blogspot.com/2010/08/contrasting-oltp-and-data-warehousing.html

Datastage,Datawarehouse concepts,Unix and Oracle. Thursday, August 19, 2010. Contrasting OLTP and Data Warehousing Environments. Figure 1 illustrates key differences between an OLTP system and a data warehouse. One major difference between the types of system is that data warehouses are not usually in third normal form (3NF), a type of data normalization common in OLTP environments. 8226; Data modifications. In OLTP systems, end users routinely issue individual data modification statements to the databas...

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vpeerds.blogspot.com

Datastage Learners

Datastage,Datawarehouse concepts,Unix and Oracle. Thursday, August 19, 2010. Overview of Data Warehousing with Materialized Views. Typically, data flows from one or more online transaction processing (OLTP) databases into a data warehouse on a monthly, weekly, or daily basis. The data is normally processed in a staging file. The summaries or aggregates that are referred to in this book and in literature on data warehousing are created in Oracle using a schema object called a materialized view. Organizati...

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