In today’s data-driven world, connecting diverse systems and facilitating data exchange is a common but complex challenge. Traditional ETL (Extract, Transform, and Load) platforms tend to be cumbersome and expensive, demanding specialized skills for effective use. Development teams frequently find themselves overwhelmed with the intricacies of unnecessary features and the need to master vendor-specific technologies.
This is where simpler, more agile, and scalable solutions become appealing, keeping in line with principles like domain-driven design and microservices architecture. Let’s explore how Choreo helps to effectively automate ETL tasks.
Consider a restaurant chain using a cloud-based Electronic Point of Sale (EPoS) system across multiple locations. The EPoS system centralizes crucial data and provides an API for data extraction. The restaurant chain aims to visualize this data for corporate analysis but faces challenges due to the high volume of transactions and the complexity of API interactions.
Choreo offers three types of integration components - Scheduled Trigger, Manual Trigger, and Service, used in combination for the following scenario:
This component extracts data from the EPoS system and stores it in a database. It requires initiation through an external process or manual invocation.
This component automatically invokes the data extraction service at set intervals, managing orchestration and avoiding duplicate records in auto-scaled environments.
An admin can manually trigger the data extraction service as needed, offering additional control over data extraction.
This service component acts as an API, fetching and processing data from the analytics database to feed into the dashboard application.
Choreo emerges as an efficient, adaptable solution for complex data integration challenges, promoting simplicity and agility. It proves particularly effective in scenarios handling intricate data from cloud-based systems and transforms it into meaningful insights. Choreo presents a compelling solution for organizations seeking streamlined and effective data integration solutions.
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