How to add Header Fields To Flat Files in Informatica Power Center (using header command)

How to add Header Fields To a Flat Files in Informatica Power Center using “Header command”? This option will give you the flexibility to fully customize your header names. In this example I am creating a csv target file with comma delimited. Also read another option solution using “Header options” This solution offers a little […]

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How to get the last day of the month in informatica

How to get the last day of the month in informatica power center? We can use the transformation function LAST_DAY which Returns the date of the last day of the month for each date in a port. SyntaxLAST_DAY(pass_the_input_date) Example LAST_DAY( PLAN_END_DATE ) Let’s consider a real time scenarios. We have a PLAN effective date and […]

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Pushdown optimization in informatica PowerCenter

This article will help you to understand Pushdown Optimization technique to enhance Informatica ETL performance. We will see how to implement Pushdown optimization and its limitation. Author: Dhandhaliya Dhiraj Informatica ETL Developer | SQL Developer | IICS Developer | IDQ Developer Email | Linkedin Profile   What is Pushdown Optimization? Pushdown Optimization is use to increase […]

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Stored Procedure transformation​ in Informatica​

​Stored ​Procedure A stored procedure is a precompiled collection of Transact-SQL, PL-SQL or other database procedural statements and optional flow control statements, similar to an executable script. Stored procedures are used to automate tasks that are too complicated for standard SQL statements. Stored procedures are stored and run within the database. The stored procedure must […]

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Solution – Create Retail Datamart using Informatica PowerCenter

Certification Project – Create Retail Datamart using Informatica PowerCenter Problem Statement. The purpose of this solution is to explain how to create a retail data warehouse / Datamart using PowerCenter. Description: Transaction and master data from OLTP (online transaction processing) systems is loaded into the data warehouse as Fact tables and Dimension tables respectively. In […]

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Performance Tuning – Aggregator Transformations

Aggregator transformations often slow performance because they must group data before processing it. Aggregator transformations need additional memory to hold intermediate group results. Use the following guidelines to optimize the performance of an Aggregator transformation: Group by simple columns. Use sorted input. Use incremental aggregation. Filter data before you aggregate it. Limit port connections. Grouping […]

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Source Based Commits

  The Integration Service commits data to the target based on the number of rows from some active sources in a target load order group. When the Integration Service runs a source-based commit session, it identifies commit source for each pipeline in the mapping. The Integration Service writes the name of the transformation used for […]

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Performance Tuning – Target Bottlenecks

The most common performance bottleneck occurs when the Integration Service writes to a target database. Small checkpoint intervals, small database network packet sizes, or problems during heavy loading operations can cause target bottlenecks. How to identify a Target Bottlenecks? Read the thread statistics in the session log. When the Integration Service spends more time on the […]

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