AICG

Databricks, engineered for production.

Lakehouse architecture, governance, and production AI

Why AICG for Databricks

AICG is a Databricks Registered Partner. Our engineers design and build lakehouse platforms on the Databricks Data Intelligence Platform, governed with Unity Catalog from day one, and our own DLH.io and DBDeux platforms shorten the path from raw data to trusted analytics and AI.

A lakehouse is a platform, not a notebook

Databricks makes it easy to start: a workspace, a cluster, a few notebooks. The hard part comes later, when ad-hoc notebooks become critical pipelines, governance is bolted on after the fact, and compute costs climb without anyone owning them. Most stalled lakehouse programs are engineering problems, not platform problems.

AICG treats your lakehouse as a product. We design the medallion layers and Unity Catalog structure up front, land source data with DLH.io, build transformations as tested, version-controlled dbt models on DBDeux, and automate deployment, so your data and AI workloads run on a foundation your team can operate and extend.

Professional services

Databricks system integration, end to end

Senior consultants who design, build, and run Databricks platforms for enterprise clients, with every engagement scoped to a measurable business outcome.

Lakehouse Architecture & Assessment

A fixed-scope review and target design for your Databricks estate: workspace and catalog topology, medallion layering, compute and cluster policies, networking and security, and a roadmap that sequences quick wins ahead of the long-term platform.

Unity Catalog & Governance

Centralized governance across workspaces: catalog and schema design, fine-grained access control, lineage, data classification, and audit, so analytics and AI teams can share data safely and prove compliance when asked.

Migrations to the Lakehouse

Move off Hadoop, SQL Server, Oracle, and legacy warehouses in sequenced, reversible waves. We inventory workloads, convert ETL and stored procedures into tested pipelines and dbt models, validate parity against the source, and retire the old platform on a plan.

Data Engineering & Pipelines

Production-grade ingestion and transformation on Delta Lake: batch and streaming pipelines, orchestration with Databricks Workflows, and dbt on Databricks delivered through DBDeux with CI/CD, tests, and documentation.

See our dbt consulting

Machine Learning & Generative AI

Take models and AI applications from prototype to production: feature engineering, experiment tracking, model serving, and retrieval-augmented generation over governed lakehouse data, with monitoring and guardrails engineered in.

See our AI strategy services

Cost Optimization & Operations

Make Databricks spend predictable: right-size clusters and SQL warehouses, enforce compute policies, tune Delta tables and jobs, and stand up usage dashboards and chargeback, plus ongoing platform support from our engineers.

Architecture

The AICG reference architecture for Databricks

A governed medallion lakehouse that serves BI, machine learning, and AI applications from one copy of the data.

  1. 01

    Sources

    ERP, POS, HRIS, SaaS apps, databases, files, and event streams.

  2. 02

    DLH.io ingestion

    No-code Sync Bridges with historical and incremental loads into bronze.

  3. 03

    Delta Lake + Unity Catalog

    Open tables with centralized governance, lineage, and access control.

  4. 04

    dbt on DBDeux

    Tested, documented silver and gold models with CI/CD.

  5. 05

    Consumers

    BI tools such as Omni, ML models, and generative AI applications.

Engagement model

From first assessment to a platform you own

  1. Phase 1

    Assess

    Current-state review, target lakehouse architecture, roadmap, and business case.

  2. Phase 2

    Foundation

    Workspaces, Unity Catalog, security, CI/CD, and DLH.io ingestion into bronze.

  3. Phase 3

    Build & migrate

    Pipelines and dbt models on DBDeux, migrated workloads with parity checks.

  4. Phase 4

    Run & scale

    Cost management, ML and AI use cases, enablement, and ongoing support.

FAQ

Databricks questions, answered

What does it mean that AICG is a Databricks Registered Partner?

AICG is a member of the Databricks partner program, and our engineers design, build, and support Databricks platforms for clients. We pair that with our own accelerators, DLH.io and DBDeux, so engagements start from proven components.

Should we choose Databricks or Snowflake?

It depends on your workloads, skills, and existing investments. We are partners with both, so our recommendation is based on fit, not a quota. Many organizations run both, and we design architectures that keep data and governance consistent across them.

Can we run dbt on Databricks?

Yes. dbt works well on Databricks for silver and gold transformations. We deliver dbt projects on DBDeux, the managed dbt platform, which supports Databricks as an adapter and adds CI, lineage, and an AI-native IDE.

Can you migrate us from Hadoop or a legacy warehouse?

Yes. We inventory workloads and dependencies, convert ETL and SQL into tested pipelines and dbt models, validate results against the source, and cut over in sequenced waves that keep the business running.

Do we have to use DLH.io or DBDeux?

No. We deliver on your existing tooling when that is the right call. DLH.io and DBDeux are accelerators that let our consultants start from proven, prebuilt components instead of a blank page.

Ready to accelerate your Databricks program?

Talk to an AICG architect about your goals. We'll map the fastest path to value on Databricks, with our consultants, DLH.io, and DBDeux working together.