Metadata Harvesting
Storing and retrieving vast amounts of unstructured data presents financial and logistical barriers to extracting value from that data. Metadata harvesting allows you to transform unstructured data into a structured, queryable resource by automatically extracting metadata from large, complex datasets and unlocking the information you need, regardless of its original format.

OVERVIEW
Bring structure to unstructured datasets
Metadata — data about data — is the key to accessing the intelligence that's obscured by the inherent lack of structure of the data in which it's contained. It brings context and meaning to unstructured data, making it easier to find, organize, and use
Accelerate data discovery
Enable efficient searching and retrieval of relevant information within vast amounts of unstructured data.
Organize with a metadata catalog
Facilitate the categorization and structuring of unstructured data for better management with metadata cataloging and tagging.
Open up deep analysis
Enable deeper insights and trends to be derived from unstructured data through metadata analysis.


BENEFITS
Manage storage efficiently
Extract metadata from unstructured data and make it available in a catalog to support rapid queries and minimize direct file access, instead of indefinitely retaining large data volumes. Place the original files or digital artifacts in deep archive storage to reduce expensive active storage utilization.
Boost searchability
Tag metadata based on relevant criteria e.g., event types, timestamps, locations, objects, or alerts. Quickly retrieve data by specific identifiers without reviewing large volumes of information. Leverage third-party recognition software to scan data before archiving, allowing for metadata tagging of relevant individuals or other data. This approach enhances efficiency while optimizing IT costs by reducing active storage requirements and streamlining data retrieval.

Ensure data integrity and maintain audit trails
Include digital signatures, hash values, and tamper-evident logs in the metadata. These measures ensure admissibility in legal proceedings and compliance with regulatory standards.
Integrate automation and AI.
Use AI-powered analytics to extract meaningful insights from metadata, enabling predictive maintenance and automated detection. Track changes over time using metadata to enable proactive responses.


Panzura named a top vendor for hybrid cloud file services
We were recognized as a top vendor of hybrid cloud file platforms by Gartner in Modernize File Storage Data Services With Hybrid Cloud.

Panzura named a TOP 5 winner for NAS consolidation again
We were recognized as a Top 5 Enterprise Cloud-based NAS Consolidation solution by independent analyst firm DCIG for the 2nd consecutive time.