ICS Compute × Databricks

Turn Enterprise Data into Intelligence with Databricks

ICS Compute helps organizations build and modernize data and AI platforms using Databricks, connecting data engineering, analytics, governance, and AI within a scalable architecture.

ICS Compute helps organizations design, implement, and operationalize data and AI platforms using Databricks, and is listed as a partner in the Databricks Partner Directory.

Talk to Our Data ExpertsExplore Our Capabilities
ICS ComputeDatabricks

Databricks partner

How enterprise data becomes usable

Enterprise data sources

ERP, CRM, operational databases, files, and event streams

Databricks Data Intelligence Platform

Data engineering

Ingest, transform, and orchestrate pipelines

Lakehouse storage

Structured and unstructured data in open table formats

Analytics & AI

BI, SQL analytics, machine learning, and generative AI

Governance applies across every layer: access control, lineage, and discovery.

Unified Data & AI

One Foundation for Data, Analytics, and AI

Databricks brings data processing, analytics, governance, and AI workloads together through its Data Intelligence Platform, helping organizations work with data across a unified architecture.

Outside the platform

Data sources

Operational databases, business applications, files, and other enterprise data sources.

Data engineering

Ingestion, transformation, orchestration, and processing in batch or streaming.

Lakeflow

Lakehouse foundation

One storage layer for structured and unstructured data, built on open table formats.

Delta Lake

Analytics & BI

SQL analytics, dashboards, and business intelligence on governed data.

Databricks SQL

Machine learning & AI

Model development, tracking, serving, and generative AI applications.

MLflow

Governance

Data discovery, access controls, and lineage across data and AI assets, applied to every layer above.

Unity Catalog

Data engineering, lakehouse, analytics, AI, and governance all run within the Databricks Data Intelligence Platform. Data sources sit outside it.

A conceptual view. Real workloads vary: some data is queried where it lands, some streams continuously, and not every workload uses every layer.

Our Data & AI Expertise

From Data Architecture to Production-Ready AI

ICS Compute supports organizations in designing, engineering, and operationalizing data platforms that connect enterprise data with analytics and AI workloads.

  1. Data Platform Architecture

    Design modern data architectures around workload requirements, integration needs, governance, scalability, and operational considerations.

    Covers: every layer

    Data & AI strategy

  2. Data Engineering & Integration

    Build data pipelines and processing workflows that connect enterprise data sources and prepare data for downstream consumption.

    Covers: data sources, data engineering

    Data platform engineering

  3. Lakehouse Modernization

    Support the transition from fragmented data environments toward more unified lakehouse architectures.

    Covers: data engineering, lakehouse, governance

    Modern data platform

  4. Analytics & AI Enablement

    Prepare governed data foundations for business analytics, machine learning, and generative AI initiatives.

    Covers: lakehouse, analytics and AI, governance

    Advanced analytics & machine learning

  5. Platform Operations & Optimization

    Support monitoring, workload performance, operational reliability, and ongoing platform optimization.

    Covers: operations

    Managed cloud & AI operations
Layers with a red top edge run on the Databricks platform. Numbers show which ICS Compute capabilities apply to each layer.

Engineered for Production

Making Data Platforms Work Beyond Deployment

Building a data platform involves more than selecting technology. Architecture, integration, governance, performance, and operational readiness determine how effectively the platform supports business workloads.

  1. Assess

    Evaluate the current data environment, workloads, integration requirements, and modernization priorities.

  2. Design

    Define the target architecture, data flows, governance approach, and technical implementation plan.

  3. Engineer

    Develop data pipelines, transformations, integrations, and supporting platform components.

  4. Deploy

    Implement workloads and prepare the platform for production use, including relevant operational controls.

  5. Optimize

    Improve performance, reliability, resource utilization, and operational efficiency over time.

Optimization continues after go-live

Databricks provides the platform.ICS Compute helps turn it into an operational data and AI environment.

ICS Compute × Databricks

Build a Stronger Foundation for Data and AI

Whether you're modernizing your data architecture, improving data engineering workflows, or preparing for AI initiatives, explore how ICS Compute can support your Databricks environment.

Talk to Our Data Experts