Re-Keying Surrogate Key For Dimension & Fact Tables. Need, Impact and Fix

Johnson Cyriac Mar 31, 2013
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Re-Keying Surrogate Key For Dimension & Fact Tables. Need, Impact and Fix
A surrogate key is an artificial key that is used as a substitute for a natural key. Every surrogate key points to a dimension record, which represent the state of the dimension record at a point in time. We join between dimension tables and fact tables using surrogate keys to get the factual information at a point in time. In this article lets see the need of surrogate key re-keying, the impact of re-keying and possible fix.

Data Manipulation Using Update Strategy in Informatica PowerCenter

Johnson Cyriac Mar 25, 2013
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Data Manipulation Using Update Strategy in Informatica PowerCenter
It is obvious that we need data manipulation such as Insert, Update and Delete in an ETL job, Informatica PowerCenter provides Update Strategy transformation to handle any such data manipulation operations. Lets understand Update Strategy Transformation in detail.

Stored Procedure Transformation to Leverage the Power of Database Scripts

Johnson Cyriac Mar 17, 2013
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Stored Procedure Transformation to Leverage the Power of Database Scripts
A Stored Procedure is an important tool for populating and maintaining databases. Since stored procedures allow greater flexibility than SQL statements, database developers and programmers use stored procedures for various tasks within databases. Informatica PowerCenter provides Stored Procedure Transformation to leverage the power of Database Scripting. In this article lets see it in more in detail about how to use Stored Procedure Transformation.

Change Data Capture (CDC) Implementation for Multi Sourced ETL Processes

Johnson Cyriac Mar 9, 2013
Initial History Building Algorithm for Slowly Changing Dimensions
We have discussed couple of different options for Change Data Capture including a Change Data Capture Framework in our prior discussions. Implementing change capture for ETL process which involves multiple data source needs special care to capture changes from any of your data source. Here in this article lets see CDC implementation for ETL Process which involve multiple data sources.

Initial History Building Algorithm for Slowly Changing Dimensions

Johnson Cyriac Mar 4, 2013
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Initial History Building Algorithm for Slowly Changing Dimensions
Building initial history for a Data Warehouse is a complex and time consuming task. It involve taking into account of all the date intervals from different source tables during which the source system’s representation of data in any of the tables feeding into the Dimension Tables. So we can imagine the history building complexity and the need of a reusable algorithm.



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