Best Practices - Simple ETL
Use Case Overview
This Use Case would help you jumpstart solution development for a Adeptia Solution developer with basic knowledge of ETL.
ETL is the most common integration pattern where the key requirement is to pull or receive data from a source system or a file and perform the necessary transformation and deliver to a target system or file. This document will outline the key steps to very quickly setup an ETL based transformation.
Scope of Use Case
Applicable Scenarios
This use case is applicable for any simple ETL use case for source and target systems supported by the product..
Uses out of the box pre-built Data Integration Flow.
Transactions using this template is meant to be used bu internal Business users.
Excluded Scenarios
Not recommended for partner self-service.
Post processing and complex mapping requirements.
Pre-requisites
Following are the pre-requisites to implementing the the simple ETL use case:
Input schema and type of source data (file in this case ). The most common types are XML, Excel, CSV, JSON, Text, and Database.
Source Type - File or LAN location in this example.
Target schema and type. The most common types are XML, Excel, CSV, JSON, Text, and Database.
Target Type - File or LAN location in this example.
Nest Step