The Flatfile platform automatically learns how imported data should be structured and cleaned, enabling customers and teams to spend more time using their data instead of fixing it.įlatfile’s Importer has an elegant, easy-to-use experience that reduces frustration and increases delight. The company is headquartered in Denver, Colorado, with an office in Atlanta, Georgia.įlatfile uses its AI-assisted data exchange to eliminate repetitive work and makes B2B data exchange fast, intuitive, and error-free. This is to help the connector understand the schema of the file flat that it needs to parse.Įnsure that the Java version of Oracle Identity Manager and the compiled class is the same.Flatfile is the developer of a database software designed to import, map, and normalize customer data.įlatfile's vision is to enable seamless data exchange between companies - large and small - throughout the world.įlatfile was founded in 2018 by Eric Crane and David Boskovic. In addition, you must create a CSV file containing only the headers and enter the name and complete path of this file in the flatFileLocation field of the Advanced Settings section. Then, if the exported flat file (containing user data) does not contain a header row, you must add the headerRowPresent parameter to the Advanced Settings section and set its value to False. In addition, in the Advanced Settings section of your application, you must add the parserClassName and customConfigParams attributes and enter relevant values. Then, you must integrate this custom parser class with the connector by creating a JAR to hold the custom parser class and including it in the connector bundle JAR. To support the processing of flat files exported in formats other than CSV, you must create a custom parser and integrate it with the connector.Ĭonfiguring the connector for a custom parser requires you to write a custom parser class that implements the Flat File parser. By default, the connector supports processing of flat files exported in the CSV format.
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