Data Integration Solutions: Transformations

Data Security Using Informatica PowerCenter Data Masking Transformation

You might have come across scenario where in you do not have enough good data in your Development and QA regions for your testing purpose; and you are not allowed to copy over data from production environment due to the data security reasons. Now using Informatica PowerCenter data masking transformation you can overcome such scenarios. In this article, lets see the usage of masking transformation.

Transaction Control Transformation to Control Commit and Rollback in Your ETL

Transaction Control Transformation to Control Commit and Rollback Transactions

In a typical Informatica PowerCenter workflow data is committed to the target table after a predefined number of rows are processed into target, which is specified in the session properties. But there are scenarios in which you need more control on the commits and rollbacks. In this article, lets see how we can achieve this using Transaction Control Transformation.

Informatica HTTP Transformation, The Interface Between ETL and Web Services

In a matured data warehouse environment, you will see all sorts of data sources, like Mainframe, ERP, Web Services, Machine Logs, Message Queues, Hadoop etc. Informatica has provided a variety of connector to get data extracted from such data sources. Using Informatica HTTP transformation, you can make Web Service calls and get data from web servers. We will have this transformation explained in this article with a use case.

Informatica SQL Transformation, SQLs Beyond Pre & Post Session Commands

SQL statements can be used as part of pre or post SQL commands in a PowerCenter workflow. These are static SQLs and can run only once before or after the mapping pipeline is run. With the help of SQL transformation, we can use SQL statements much more effectively to build your ETL logic. In this tutorial lets learn more about the transformation and its usage with a real time use case.

Informatica Java Transformation to Leverage the Power of Java Programming

Java is, one of the most popular programming languages in use, particularly for client-server web applications. With the introduction of PowerCenter Java Transformation, ETL developers can get their feet wet with Java programming and leverage the power of Java. In this article lets learn more about Java Transformation, its components and its usage with the help of a use case.

Session Logfile with Verbose Data for Informatica Mapping Debugging

Troubleshoot Informatica Mapping Using Verbose Mode Session Log

Debugger is a great tool to troubleshoot your mapping logic, but there are instances where we need to go for a different troubleshooting approach for mappings. Session log file with verbose data gives much more details than the debugger tool, such as what data is stored in the cache files, how variables ports are evaluated. Such information helps in complex tricky troubleshooting.

Mapping Debugger to Troubleshoot your Informatica PowerCenter ETL Logic

Debug Informatica PowerCenter Mapping Using Debugger and Session Log File

Debugger is an integral part of Informatica PowerCenter mapping designer, which help you in troubleshooting the ETL logical error or data error conditions in an Informatica mapping. The debugger user interface shows the step by step execution path of a mapping and how the source data is transformed in the mapping. Features like "break points", "evaluate expression" makes the debugging process easy.

Pipeline Lookup Transformation, Beyond Relational and Flat File Data Sources

Pipeline Lookups, Beyond Relational and Flat FIle Data Sources

Lookup transformation is synonymous to SQL outer join, which is primarily used for relational and flat file data source lookups. But with the introduction of pipeline lookup, we can use all variety of data sources in the lookup transformation. This feature is really powerful just like Active Lookup Transformation. In this article lets see how pipeline lookup transformation can be configured in a mapping.

Rank Transformation to find TOP or BOTTOM Ranked Data Sets

SCD Type 4, a Solution for Rapidly Changing Dimension

Rank Transformation can be used to rank record sets and return records with the largest or smallest rank with in a group based on a port value. You can also use a Rank transformation to return the strings at the top or the bottom of an ordered data. In this article lets discuss a practical application of Informatica Power Center Rank Transformation.

Build Reusable Code in Informatica PowerCenter Using Mapplets

Reusability is a great feature in Informatica PowerCenter which can be used by developers. Its general purpose is to reduce unnecessary coding which ultimately reduces development time and increases supportability. In this article lets see how we can build mapplet in Informatica PowerCenter to make your code reusable.

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

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.

Sequence Generator Transformation for Unique Key Generation

The Sequence Generator transformation generates numeric values in a sequential order. Use the Sequence Generator to create unique primary key values, replace missing primary keys, or cycle through a sequential range of numbers. In this tutorial lets see a practical implementation of Sequence Generator transformation.

Working with Router Transformation and Aggregator Transformation

Working with Aggregator and Souter Transformation

This tutorial shows the process of creating an Informatica PowerCenter mapping and workflow which pulls data from multiple data sources and use Aggregator and Router Transformation. Router transformation can be used to split the data into different groups. And aggregator can be used to summarize data.

Working with Aggregator and Sorter Transformation

This tutorial shows the process of creating an Informatica PowerCenter mapping and workflow which pulls data from multiple data sources and use Aggregator and Sorter Transformation. Using a sorter transformation, you can sort data either in an ascending or descending order. And aggregator can be used to summarize data.

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