Alumio enables Mapping to define how data fields allow you to modify the format of incoming data to match the structure required by the outgoing system. In addition to mapping data fields, you can also filter out unnecessary data, preventing redundant queue items from being processed. Alumio further enhances your workflows by enabling you to store data and set up import/export processes, which help track updates and deletions from datasets or files, ensuring that only relevant changes are processed in your integrations.
Alumio’s wide array of Transformers enable data selection and reduction, translation and mapping of formats, encoding, calculations, and sorting/ordering data. They can merge or join data from other sources, perform lookups, aggregate info, and generate surrogate keys. They also allow for transposing or pivoting of array or object keys and values, and include validation functions to ensure data accuracy. Furthermore, Transformers can filter out entire data points from incoming configurations, preventing unnecessary items from clogging the processing queue.
Alumio is primarily a low-code solution that simplifies advanced integrations and data transformations. As part of our vast array of Data Transformers, we’ve released an exciting new developer-friendly Code Transformer. This transformer will enable integrators to write JavaScript within Alumio to transform complex data and tackle edge cases with simple lines of code. The Code Transformer will also enhance workflows and accelerate customizations.