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Intelligence v6.4.0 MAK.U Engine

DataLake

Unstructured data storage protocol for ingesting, storing, and querying massive datasets.

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Core Capabilities

Comprehensive features designed for DataLake.

01

Data Ingestion

Stream and batch from thousands of sources.

Context
CORE
Rules
CORE
Automation
OPT
Approval
OPT
02

Object Storage

S3-compatible with unlimited scale.

Context
CORE
Rules
CORE
Automation
OPT
Approval
OPT
03

Query Engine

SQL and Spark with caching.

Context
CORE
Rules
CORE
Automation
OPT
Approval
OPT
04

Schema Management

Registry with compatibility.

Context
CORE
Rules
CORE
Automation
OPT
Approval
OPT
05

Data Catalog

Automated discovery and classification.

Context
CORE
Rules
CORE
Automation
OPT
Approval
OPT
06

Governance

Lineage, access, and retention.

Context
CORE
Rules
CORE
Automation
OPT
Approval
OPT
07

Integration

ETL, BI, and ML platforms.

Context
CORE
Rules
CORE
Automation
OPT
Approval
OPT

Workflow Preview

Illustrative interface showing how DataLake can coordinate context, rules, actions, and approvals.

Concept visualization for implementation planning; not customer performance data.

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Integrations

Seamlessly connects with your existing stack.

API & SDK

Configured according to implementation scope.

CONFIGURABLE

Cloud Platforms

Configured according to implementation scope.

CONFIGURABLE

Data Sources

Configured according to implementation scope.

CONFIGURABLE

Analytics

Configured according to implementation scope.

CONFIGURABLE

Automation

Configured according to implementation scope.

CONFIGURABLE

Security

Configured according to implementation scope.

CONFIGURABLE

Implementation Paths

Commercial scope is confirmed after requirements, integrations, deployment model, and support needs are understood.

Discovery
Scopedfor your workflow
  • Workflow and data review
  • Integration mapping
  • AI activity design
  • Implementation brief
Discuss scope
Recommended path
Focused Pilot
Scopedfor your workflow
  • Focused product configuration
  • Selected integrations
  • Team onboarding
  • Measured pilot review
Discuss scope
Operational Rollout
Scopedfor your workflow
  • Multi-team deployment
  • Migration planning
  • Governance and controls
  • Ongoing improvement plan
Discuss scope

Ready to Design Your Workflow?

Discuss how DataLake could be configured around your team, systems, and operating requirements.

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