FRAXSES: EVOLUTION OF ETL

In recent years, escalating data demands have exposed the limitations of traditional approaches to data integration. Fast forward to today and fraXses has transformed the data integration landscape. fraXses assists organisations in integrating and assessing data from disparate sources, offering an answer to the question of how users can work with data with little to no interruption to daily operations.

For organisations, it comes down to a decision as to which of the following methods is best suited for its specific needs. The question is, how do we overcome the challenges that organisations are faced with when creating these transformations, while also making data easily accessible for consumers and analysts.

ETL (Extract, Transform, Load)

The start of integration in the data pipeline process where extracting, transforming and loading data into a warehouse or data lake takes place. It poses challenges and is known to be inherently rigid.

ELT (Extract, Load, Transform)

This method provides ways to overcome the problems with ETL. The features of ELT assist you with changing and creating transformations into a data warehouse or data lake.

Lastly, take a look at the next iteration, as advanced by fraXses.

ET (Extract, Transform)

This new approach removes the requirement to load from the process. It enables you to bring your data home, makes it considerably easier to manipulate, and allows access to true real-time visibility.

Our fraXses data platform can facilitate each integration method. The goal is to provide the application that will assist organisations and users in accessing real-time insight to maximise their data value. The application supports digital transformation and delivers immediate business impact without interrupting daily operations.

fraXses provides insights that enable organisations to transform into true data-centric entities.

Read more about the ETL evolution here

Like to find out more? Contact us on info@intenda.tech. We are happy to answer your questions.

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