Search and analyze large amounts of unstructured data for your company: The GRAU DATA Metadata-Hub is the ideal solution for this.
Data is the gold of companies ! Not entirely true, because data is only valuable when it can be used meaningfully. It is essential to know what data is available, in what form it is available and what information it contains. The Metadata-Hub from GRAU DATA was developed for this purpose.
As a pioneer in data archiving and data protection, we at GRAU DATA try to find ways to make better use of your data. With the Metadata-Hub you have the option of using your “embedded” metadata to analyze your data.
The Crawler & Harvester accesses all “embedded” metadata from the filesystems via NFS or SMB and extracts millions of tags in a short time. The tags are stored in a scalable database immediately after extraction.
The metadata information is then available in a structured and usable manner, e.g. for queries. Files found can be made available for further processing in various ways using a flexible workflow.
The Metadata-Hub can be scaled almost unlimited by installing multiple hubs in parallel and administering them via the central WebUI.
More than 80% of all company data is unstructured. The Metadata-Hub recognizes, analyzes, and processes metadata from this unstructured data.
The core component is the intelligent filesystem crawler & harvester (metadata collector). This continuously extracts the so-called “embedded” metadata from files, stores them indexed in a database and makes the information available for queries and further processing.
Over 50,000 metadata tags can be processed in more than 320 different file formats!
The Metadata-Hub is controlled via docker container a browser-based and intuitive web interface and is easy to implement. A modern GraphQL-based API, a native Python SDK and an extensive command line interface offer seamless integration into 3rd party applications for further processing.