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01Data & Big Data

A data foundation the enterprise can build on.

Most enterprises do not lack data. They lack data they can trust, find, combine and use at the speed decisions are made. HestiaPremise designs and engineers modern data foundations (architecture, platforms, pipelines and products) that serve analytics, AI and operations from one coherent base.

Turn enterprise data into a trusted, scalable foundation for intelligence and action.

Capability 01 of 05 · Data feeds intelligence.

The challenge

Why data programs stall

Data estates grow by accumulation: a warehouse for reporting, a lake for data science, point-to-point integrations for operations, spreadsheets for everything in between. Each solves a local problem. Together they create duplicated logic, conflicting numbers and pipelines nobody fully owns.

AI raises the stakes. Models and assistants are only as reliable as the data and context beneath them. A modern data foundation is no longer a reporting concern. It is the precondition for enterprise intelligence.

What we do

Data & Big Data

Strategy & architecture

01.1
  • Data Strategy
  • Enterprise Data Architecture
  • Data Mesh
  • Data Fabric
  • Data Products

Platforms & engineering

01.2
  • Modern Data Platforms
  • Data Lakehouse
  • Data Warehousing
  • Big Data Engineering
  • Data Integration
  • Streaming & Real-Time Data

Management & trust

01.3
  • Master Data Management
  • Metadata Management
  • Data Catalogs
  • Data Quality

Insight & analytics

01.4
  • Business Intelligence
  • Advanced Analytics

Reference architecture

A reference view of the modern data foundation

  1. L5Consumption
    • BI & dashboards
    • Advanced analytics
    • AI & ML features
    • Operational APIs
  2. L4Data products
    • Domain data products
    • Semantic layer
    • Shared metrics
  3. L3Platform
    • Lakehouse storage
    • Warehouse
    • Batch & stream processing
    • Orchestration
  4. L2Ingestion
    • Change data capture
    • Event streaming
    • Batch ingestion
    • APIs
  5. L1Sources
    • ERP
    • CRM
    • Core systems
    • IoT & telemetry
    • Documents
    • External data
Governance: catalog, lineage, quality
Security: classification, encryption, access
Reference architectureSources are integrated once, refined on a governed platform, and published as data products that analytics, AI and operational systems consume.

How it connects

No capability works alone. This is how this one depends on, and strengthens, the others.

Architecture connects everything.

Questions we help answer

  1. Q1

    Which decisions depend on data we cannot currently trust?

  2. Q2

    Should our target architecture be a lakehouse, a mesh, a fabric, or a pragmatic combination?

  3. Q3

    How do we move from projects that produce reports to products that produce reusable data?

  4. Q4

    What does our data foundation need to look like before we scale AI?

Let’s discuss what your enterprise is building next.

Bring the ambition, the constraints and the current landscape. We will bring the architecture.

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