Read and Write Hierarchical Data( Xml, Json, Avro, Copybook Cobol ... )
Working with hierarchical data formats such as XML, JSON, SAP IDOCS or even Web Services, can very quickly become complex.
Which developer has never complained about the difficulty and the time losses induced by the processing of this type of data?
Traditional Data integration software ( ETL ) have difficulty working with XML data because they rely on a "tabular" data-driven approach based on records, similar to SQL.
But XML represents data in tree form, which is ideal for storing hierarchical data, lists of lists, and so on.
Moving from a two-dimensional tabular data representation to a tree representation is not so easy.
But thankfully, Stambia offers amazing capabilities to make it easy for you to process this type of file.
Discover through this video how Stambia simplifies working with hierarchical files.
Stambia ETL has been designed to offer the same level of simplicity and performance regardless of the format of the data to be processed.
-Acquisition of several XML / JSON files generated on the water by a system
-Extraction of data from RDBMS and production of multiple XML / JSON files for downstream systems
-Invocation of an external SOAP / REST web service
-Recovery of data from Social Networks for analysis purposes
If you want to know more about this subject, see our white paper:
https://www.stambia.com/en/ebooks/man...