A complete ETL pipeline design strategy

Designing a complete Extract, and Transform, Load (ETL) pipeline in C++ involves careful planning and considering various components to ensure efficient and reliable data integration and processing. An ETL pipeline encompasses extracting data from multiple sources, transforming it according to business rules or requirements, and loading it into a target system or database. This section will explore a comprehensive ETL pipeline design strategy in C++.

1. Data Extraction: The first step in an ETL pipeline is extracting data from diverse sources. C++ offers various techniques for data extraction, including reading from files (such as CSV or JSON), connecting to databases using SQL, or integrating with APIs for real-time data retrieval—libraries such as Boost.Asio or cURL can aid in handling network-based data extraction.
2. Data Transformation: Once the data is extracted, it often requires transformation to ensure its quality, consistency...