Data ETL

ETL is basically an acronym for Extract, Transform, and Load, a general procedure that programmers and developers commonly perform by copying data from one or more sources and transfer it into a destination system that represents the data differently than the source. Today, data transfer and data integration are done through various modernized solutions providing users with easier and automated data transfer procedures using microservices, portals, or files. Generally, ETL is everything you do as a programmer.

Data System Integration

Joining Ian Barker in this TCoffee and Code session are his fellow Embarcadero MVPs Kelver Merlotti, Miguel Moreno, and Olaf Monien to discuss everything about Data ETL and visualization. The discussion includes data system integration which is generally the process of moving data among different subsystems to make them look and run as a single system. They also tackle different integration models and how each process varies from one another.

The Benefits of FireDAC

The session also highlights the differences between the two data subsystems; Homogeneous and Heterogeneous Data Subsystems. Unlike Homogenous, Heterogeneous data subsystem is built using different database management systems. This is where the FireDAC library comes into play. FireDac has a powerful flexible and extendable scripting capability that connects different database systems with the help of its built-in connectors and non-visual components.

In addition to that, these experts will also answer multiple queries along the way. Don’t miss anything and feel free to watch the video below.

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