Data Transformation Irfan Ahmed
Utilize a code-free environment to efficiently manipulate, convert, cleanse, and validate datasets of any complexity
As the volume of incoming business data grows, so do information silos across the enterprise. Data-driven innovation can only be made possible when data across these silos is integrated after converting and transforming it for consistency. This process makes the data intelligible to other business systems in the enterprise. Astera Software provides a variety of built-in advanced transformations to process complex data efficiently within a code-free environment.
Create dynamic, rule-driven data transformations using drag and drop operations
Before data is loaded to a target destination, it must be transformed to meet any format and structural requirements of the target database. This involves cleaning the data, applying business rules, checking for data integrity, joining data from two sources, and more. In most cases, one or more transformations are required to meet the technical and operational requirements, such as joining, concatenating, disaggregation, lookup, transposing data, validation, and others.
Astera enables users to process structures of varying complexities using the platform’s expansive library of built-in, advanced transformations, including lookups, expressions, joins, unions, filters, routes, normalizations, denormalizations, tree joins, and tree node queries. Our cohesive data foundation allows information experts to build modular integration flows of varying complexity, refresh data automatically at preferred intervals, validate data, build individual record-level error outputs, and aggregate data quality statistics – all within an intuitive, code-free environment.