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Contributed by @SriramGopal from Agilisium Consulting The pipeline is designed to fetch records on an incremental basis from any RDBMS system and load to cloud storage (Amazon S3 in this case) with partitioning logic. This use case is applicable to C...
Contributed by @SriramGopal from Agilisium Consulting The pipeline is designed to fetch records on an incremental basis from document-oriented NoSQL database system (Mongo in this case) and load to cloud storage (Amazon S3) with partitioning logic. T...
Contributed by @SriramGopal from Agilisium Consulting The pipeline is designed to fetch records from CRM application (Salesforce in this case) via API integration and load to cloud storage (Amazon S3 in this case) with partitioning logic. This use c...
Contributed by @SriramGopal from Agilisium Consulting The pipeline is designed to transfer files from a FTP/SFTP server and load them to cloud storage (Amazon S3 in this case). This use case is applicable to Cloud Data Lake initiatives. This pipelin...
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