Transversal

KEA DataLake transforms your scattered data — structured or unstructured — into reliable, understandable, and directly actionable information for decision-making.

In preparation

Description

KEA DataLake is a semantic Data Lake SaaS platform designed to accelerate the development of decision-support systems.

The solution captures data from internal and external sources, whether structured or unstructured. It automatically inspects content from more than thirty file formats — including PDF, Word, PowerPoint, and CSV — and transforms the extracted information into organized records within consistent datasets.

A semantic layer then makes it possible to qualify, cleanse, structure, and connect data to business concepts. Users therefore share a common vocabulary and a unified understanding of information, beyond technical and organizational silos.

Sensitive data can be protected through security labels and access-control rules. KEA DataLake can then deliver information through web modules, APIs, or tools already used within the organization, such as Excel, Power BI, and Apache Superset.

The platform has been designed to meet GDPR and CCPA privacy requirements.

Features

  • Capture of internal and external data
  • Processing of structured and unstructured data
  • Automatic inspection and extraction from more than 30 file formats
  • Organization of information into datasets
  • Data qualification, cleansing, and structuring
  • Semantic modeling based on business concepts
  • Dataset search, sampling, and exploration
  • Granular permission management and security labels
  • Attribute-level and row-level access restrictions
  • Creation of web-based UI modules
  • Creation of Python/FastAPI API modules
  • Excel, Power BI, and Apache Superset integrations
  • Access through APIs and JavaScript SDK
  • Platform health monitoring and user activity auditing
  • Designed to meet GDPR and CCPA privacy requirements

Specifications

Languages
FR FR EN EN
Support
Support 5/7

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