Unification Solutions

BIG DATA AND CONTENT

Tanzle’s management of big, disparate data and streaming data content enables users quicker access to layered data analysis with extremely low latency. Visualization methods are then tailored for the needs of the use case.

Big Data and Content

Most infrastructure supporting data woefully lacks the ability to access relevant content in large datasets. Fundamentally, it can not provide simple discovery, use and visualization of data to create information. By accessing content in a visual manner, users can instantly and freely understand what the data is presenting to them in context.

Content Services

Tanzle’s platform provides for a content service that enables multiple users to create, publish, and manage content aligned to foundational sources in the platform. Designed with collaboration as a fundamental aspect, this service is the perfect tool for both technical and non-technical subject matter experts to interact and contribute to their content.

Content Management

Core to Tanzle’s v3 platform is its inherit capability to allow for content discovery

Content Management Service (CMS) enables multiple users to create, publish, and manage content. Designed with collaboration as a fundamental aspect, Tanzle CMS is the perfect tool for both technical and non-technical users to interact and contribute to their content.

Tanzle Structure

Structured With The User First And Data Second

The Tanzle Platform can both transcode and ingest datasets into the system and link to internal and external datasets. For each dataset, a common metadata structure is created that provides information on what data is available, how it is fetched, how it is structured, and how it relates to other datasets. This allows the platform to provide a powerful set of tools for browsing and indexing across all sorts of disparate datasets.

Tanzle Structure

Structured with the user first and data second

The Tanzle V3 Platform can both ingest data sets into the system and link to external data sets residing elsewhere in the internet. For each data set, internal or external, a common metadata structure is created that provides information on what data is available, how it is fetched, how it is structured, and how it relates to other data sets. This allows the platform to provide a powerful set of tools for browsing and indexing across all sorts of disparate data sets.

Technology

Frontend Data Management Framework Supports Visualization, Interaction, and Simulation Engines

Tanzle’s proprietary, superclass AI provides seamless interoperability and enables a revolutionary new type of multi-experiential collaboration. The Tanzle Platform offers a powerful toolset for storing and managing large datasets– and visualizes that data with robust frontend interaction engines.

Technology

Frontend Data Management Framework Supports Visualization, Interaction, and Simulation Engines

Tanzle’s proprietary, superclass intelligence will provide seamless interoperability and enable a powerful new type of multi-experiential collaboration. The Tanzle Platform provides a powerful toolset for storing and managing large datasets and visualizes that data with powerful frontend interaction engines.

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