- Common Content for Data Integration 10.5.4
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In Informatica Developer, you can create a flat file physical data object when you want to use a flat file as a source, lookup, or target. In this demo, we import a flat file to create a flat file data object, configure the data object, preview the data object, run a profile on the data object, and then add the data object as a source in a mapping.
In Informatica Developer, add a Web Service Consumer transformation to a mapping when you want to connect to a web service to access or transform data.
In Informatica Developer, you can create a rule and apply it to a column profile. A rule is business logic that defines conditions applied to data when you run a profile. Use rules to validate the data in a profile and measure data quality progress.
In Informatica Developer, create an Aggregator transformation to perform aggregate calculations, such as averages and sums. Use the Aggregator transformation to perform calculations on groups of data. You can also use conditional clauses to filter rows.
In Informatica Developer, concatenate two fields when you want to combine data from two different fields into one field. Use the CONCAT function in an Expression transformation to concatenate the fields. In this demo, we concatenate the first name and last name of each customer to create the full name.
In Informatica Developer, you can connect to the Model repository to create, view, and manage metadata. Each time you open the Developer tool, you must connect to the Model repository to access projects and folders.
In Informatica Developer, you can create a mapping from a profile. You can then add more objects to the mapping to use it for data quality purposes. When you create a mapping from a profile, the mapping has a data source based on the data object you ran the profile on and contains transformations based on the rule logic in the profile.
In Informatica Developer, you can create a mapplet, which is a reusable object that contains a set of transformations. Create a mapplet to reuse the same transformation logic in multiple mappings.
In Informatica Developer, create a pass-through mapping to move source data to a target without transforming it.
In Informatica Developer, create a profile on a data source when you want to discover and analyze all data anomalies. You can use profiles to find hidden data problems across data sources that put projects at risk.
In Informatica Developer, you can create a reusable transformation that you can use in multiple mappings or mapplets.
In Informatica Developer, you can create a workflow and add a mapping to the workflow when you want to run multiple mappings sequentially. Or, you can add a mapping to a workflow when you want to run commands to perform steps before and after the mapping runs. The Data Integration Service uses the instructions configured in the workflow to run the objects. In this demo, we will create, deploy, and run a workflow. The workflow first runs a mapping. Then, it runs a command to print a summary of the mapping run to a text file.
In Informatica Developer, you can use DataSift to extract real-time social data from web sites.
Learn how to use the Developer tool to extract data from a website. PowerExchange for Web Content-Kapow Katalyst uses a third-party tool called Kapow Katalyst to extract data from any website.
In Informatica Developer, you can read social media data from websites such as Facebook and LinkedIn. In this demo, we'll see how to use the Developer tool to extract wall posts from Facebook.
In Informatica Developer, you can read social media data from websites such as Twitter and LinkedIn. Learn how to use the Developer tool to search and extract profile information from LinkedIn web.
In Informatica Developer, you can read social media data from websites such as Twitter and LinkedIn. Learn how to use the Developer tool to extract tweets from Twitter.
In Informatica Developer, you can add a Sequence Generator transformation to a mapping when you want to generate numeric values. Use the Sequence Generator transformation to create unique primary key values or to replace missing primary keys. You can also use the transformation to cycle through a sequential range of numbers.
You can import a relational data object in Informatica Developer to use relational data as a source, target, or lookup in a mapping. In this demo, we import a relational data object, preview the data object, and add the data object as a source in a mapping.
In Informatica Developer, you can use a Joiner transformation to join source data from two related heterogeneous sources.
In Informatica Developer, you can use an Exclusive gateway to make a decision in a workflow.
In Informatica Developer, you can use a mapping parameter to represent a connection. A mapping parameter represents a constant value that can change between mapping runs. This demo explains how to create and use a mapping parameter to change source and target database connections between mapping runs.
In Informatica Developer, create a Lookup transformation when you want to look up data in a lookup source, such as a flat file or relational table. Specify a lookup condition to determine which rows to retrieve from the lookup source. In this demo, we create a Lookup transformation to determine whether each customer placed an order.
Learn how to link a rule asset to a business term, and how to create a rule specification from a rule intent in a business term.
Learn how to preview data in a physical data object, preview data midstream in a transformation, customize the data preview options, and export the output data that you previewed.
In Informatica Developer, you can add a Notification task to a workflow to send an email during the workflow run.
In Informatica Developer, you can use a Sorter transformation to sort data. In this demo, we'll add a Sorter transformation to a mapping to sort data for a downstream Aggregator transformation. Then, we'll configure the Aggregator transformation to use sorted input.
In Informatica Developer, create a Data Processor transformation with a parser to transform a flat file source in PDF or text format to a flat file target in XML format. In this demo, we create a Data Processor transformation, create and configure a Script with a parser, preview the example source, define the parser, preview the Data Processor transformation, and then add the Data Processor transformation to a mapping.