ENRICH
Ask your metadata
about your data.
Diskover sets the standard in data management with its extensive and dynamic metadata catalog and versatile dataset tagging. By providing unparalleled depth and precision, Diskover empowers organizations to gain comprehensive visibility into their digital assets.
Diskover sets the standard in data management with its extensive and dynamic metadata catalog and versatile dataset tagging. By providing unparalleled depth and precision, Diskover empowers organizations to gain comprehensive visibility into their digital assets.
Why metadata matters.
Metadata is the lifeblood of modern data management and analytics. It transforms raw, unstructured data into context-rich assets, empowering organizations to unlock insights, streamline workflows, and drive smarter decisions.
Without metadata, your data is just a sea of untapped potential—opaque, disorganized, and inaccessible.
At its core, metadata provides the “who, what, where, when, and why” of your data. It enables precise indexing, rapid searching, and meaningful categorization, ensuring the right data is always at your fingertips. Whether you’re powering AI pipelines, refining BI strategies, or meeting strict compliance standards, metadata bridges the gap between data chaos and actionable insights.
Diskover’s rich metadata catalog gives your team the tools to understand not only what data you have but also how it’s being used, how it connects across your organization, and how it can propel your goals forward. In a world where data is king, metadata is the map to the treasure.
Your metadata has a lot of stories to tell.
Business-centric metadata is an invaluable asset for locating, organizing, and analyzing specific data, as well as for designing workflows tailored for simple data reduction to AI/BI, data lakes, and lakehouses.
DISKOVER’S METADATA CATALOG
The journey of your metadata catalog.
From indexing to automation.
It all starts with indexing your base metadata.
Base Metadata
Diskover begins by indexing the base metadata of your files, capturing essential details such as file name, size, type, timestamps, etc. This information is cataloged in Elasticsearch, providing a robust foundation that enables powerful functionality and versatility right from the start.
Enrich with contextual metadata.
Diskover’s powerful plugins collect extra attributes, adding rich business context to the Elasticsearch catalog—like lifecycle stage, extremely specific storage-based details, image/video attributes, custom tags, and thousands more.
These plugins can be executed at index time or post-indexing at scheduled intervals to ensure optimal performance, preserving the rapid speed of regular indexing while still providing detailed metadata insights.
BUSINESS-CONTEXT METADATA
SAMPLE
Metadata from Harvest Plugins
Metadata from Filesystems
Use that comprehensive catalog for granular discovery.
Using our built-in tools, manual queries, or a combination of both, each attribute can be thoroughly searched. You can also combine multiple granular attributes, originating from any indexed platform, in a single query to precisely pinpoint what you need.
For example, you could easily search for this combination of criteria.
That dataset could then be manually processed or integrated into an automated workflow.
In-depth analytics using contextual metadata
This rich catalog not only enhances reporting and analytics but also drives smarter, data-informed decisions that optimize workflows, reduce costs, and unlock the full potential of your data.
This example is querying several attributes, including account managers on the Xytech platform, to find out who is using your data/space.
Contextual metadata leveraging for powerful automation, precise curation, and enduring solutions.
The combination of this base metadata and enhanced attributes provides an unparalleled level of insight and control, empowering you to place data exactly where it’s needed, precisely when it’s needed. It’s a smarter, faster way to make your data work for you.
Workflow samples using enriched metadata for automated lifecycle management.
TAGS
Tag it your way: manual simplicity meets automated efficiency.
Tags are a critical cornerstone of effective data management and streamlined workflows. With Diskover, you’re not limited to manual tagging—our powerful platform enables scheduled, automated tagging, fully customizable to align with your organization’s unique rules and requirements. Tagged datasets ensure your data stays organized, actionable, and ready for whatever comes next.
SPECIALIZED METADATA
Diskover leverages specialized metadata tailored to your unique use cases.
For electronic design automation →
By capturing attributes unique to EDA environments, Diskover transforms raw data into actionable intelligence, enhancing productivity and efficiency.
Take control of your projects and clients’ data with Diskover’s rich specialized metadata to pinpoint exactly where your data resides, how it’s being used, and place it where it needs to be.
Diskover bridges the gap between content and context, ensuring high-quality data for training large language models while building the robust pipelines needed to power AI engines.
Diskover and Dell SmartPools form a powerful duo, indexing metadata across storage tiers to deliver unmatched visibility and control in data management.
Diskover harnesses energy-specific metadata to deliver actionable insights, ensuring efficient data organization, improved workflows, and smarter storage decisions.
Diskover leverages life science metadata to organize and track complex datasets, enabling streamlined research workflows, regulatory compliance, and accelerated discoveries.
For data lakes and lakehouses →
Diskover brings unique benefits specifically tailored to the hybrid structure of a data lakes and lakehouse, combining the flexibility of a data lake with the analytical capabilities of a data warehouse.
Business-context metadata isn’t limited to specialized industries—it also serves countless general-purpose needs, providing valuable insights for organizing, analyzing, and optimizing data.