Data from the web and legacy systems is commonly received in hierarchical formats (XML, JSON, PDF, COBOL, EDI, etc.). To handle processing and integration of such formats, businesses need a platform built from the ground up to process hierarchical data, while being intuitive enough for use by business information experts. Astera Software offers a cohesive platform that eliminates the need for hand-coding to perform Extract-Transform-Load (ETL) operations on hierarchical and unstructured formats.
Manage, manipulate, and integrate hierarchical data visually with Astera.
Hierarchical data integration is supported by many data management platforms, but support for legacy formats and ease of use are always the two biggest barriers. Enterprises favor a solution that developers and business information experts alike can use to manage and manipulate data, more so where hierarchical formats are concerned due to their inherent complexity. Most organizations prefer tools that can make the job of integrating hierarchical data from one system to another easier. In most cases, hierarchical data can’t be integrated with relational databases directly because of an incompatibility in both the database systems. This is where a data integration software with a staging area is often required.
With Astera hierarchical data integration software, users can extract desired data points from the hierarchical databases and perform a variety of operations on individual nodes of the tree-like structures – without any manual coding or deep technical knowledge. After transformation, the hierarchical data is pushed tp a data warehouse where further business intelligence operations can be performed on it. The focus is always on business agility and prowess.
Astera enables businesses to integrate data coming in from disparate sources and create a hierarchical structure from multiple flat files for accurate presentation and analysis of information. This works the other way around too, allowing users to flatten tree structures visually and simplify mapping to single records in target destinations. Business rules can be specified in the tree layout to apply transformations to individual nodes in the structure using a simple, visual model, translating into reduced complexity.
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