Expert hands on SemanticFed
SemanticFed is a data federation platform you can run yourself. But you do not have to do it alone. We help you adopt and get more from SemanticFed — and we deliver done-for-you data outcomes powered by it: federation deployments, semantic modelling, integrations, migrations, governance, and enablement.
Consulting, implementation, migration, governance, and training so your team gets the full value of the platform — faster, and with governance from day one.
Done-for-you outcomes we deliver using the product — federation deployments, integrations, and managed operations — so you can focus on analysis.
What we do
Comprehensive services across the SemanticFed data lifecycle — every one grounded in a real product capability. Engage one, or combine several into a program.
Federation Consulting & Architecture
We help you design the right federation topology on SemanticFed — which sources to connect, how to model the semantic layer, and where push-down and caching belong — so your data estate is modelled correctly from day one.
- Discovery of your current databases, warehouses, lakes, and pipelines
- Source inventory and a federation topology recommendation
- Semantic-model design: entities, dimensions, and governed metrics
- Push-down, caching, and materialization strategy per workload
- Workspace, RBAC, and multi-tenancy design grounded in the platform
Implementation & Semantic Modelling
Our engineers stand up your SemanticFed deployment end to end — connecting sources, building the semantic layer, and wiring the SQL and GraphQL endpoints — so you get a working federated model, not a half-configured stack.
- Source connection, auth, and schema introspection across your estate
- Semantic-layer build: entities, metrics, and documented definitions
- Federated views and query validation against real workloads
- SQL and GraphQL endpoint setup for your tools and applications
- Sandbox-validated cutover so the first real query works on day one
Migration from ETL & Legacy Pipelines
Drowning in point-to-point ETL jobs and stale copies that no longer agree? We migrate the right workloads to virtual, federated views on SemanticFed and retire the pipelines you no longer need.
- Inventory of current ETL jobs, copies, and downstream consumers
- Identification of which workloads can become virtual views
- Federated-view rebuild with parity validation against the old output
- Phased, reversible cutover with parallel-run verification
- Team handover with runbooks for the new federated model
Integrations & Connector Engineering
SemanticFed is GraphQL- and SQL-first and connector-driven. We connect it to the rest of your stack — BI tools, notebooks, reverse-ETL, event streams, and bespoke sources — so data flows instead of being re-keyed.
- BI, notebook, and embedded-analytics integration on the endpoints
- Custom connectors for in-house or niche source systems
- Reverse-ETL and downstream sync wiring where you need a copy
- Event wiring for change-driven consumers
- Custom SQL/GraphQL clients for apps, services, and partners
Governance, Security & Compliance
We tune SemanticFed to your compliance bar — least-privilege roles, row and column policy, masking, residency-aware federation, and audit — inherited from the Burdenoff platform rather than re-invented per source.
- Row-level and column-masking policy design across all sources
- RBAC role design and least-privilege access reviews
- Data-residency-aware federation so regulated data stays in place
- Audit-log review, retention configuration, and evidence workflows
- Lineage validation and data-classification alignment
AI & Semantic-Layer Enablement
We help you put the semantic layer to work for AI — grounding agents and copilots in governed, documented metrics with access policy applied — as a roadmap, without overstating what exists today.
- Semantic-model curation so AI reasons over real, typed metrics
- Agent and copilot integration against the governed model
- Guardrails so AI queries inherit access policy and masking
- Natural-language-to-query evaluation against your model
- Honest current-vs-roadmap framing so expectations stay accurate
Managed Federation Operations
Prefer to focus on analysis? We operate your SemanticFed deployment for you — monitoring query health, tuning push-down and caching, watching source health, and keeping the semantic model current.
- Query-health and latency monitoring across the platform
- Push-down, caching, and materialization tuning over time
- Source-connector health, credential rotation, and upgrades
- Scheduled maintenance, backups, and incident response
- Usage, cost, and observability reporting back to your team
Training & Team Enablement
We get your analysts, engineers, and platform team genuinely productive — not just connected. Role-based sessions and golden-path playbooks so a new analyst self-serves, and a new engineer extends the model, in hours.
- Hands-on workshops for analysts, engineers, and platform teams
- Golden-path playbooks for connecting sources and modelling metrics
- SQL, GraphQL, CLI, MCP, and SDK enablement for engineering teams
- Governance and oversight training for data-platform owners
- Onboarding checklists and curated learning paths
We build it with you — connectors, models, and federated endpoints
Our engineers work alongside yours to stand up your deployment on the SemanticFed data federation platform. Sources are connected, the semantic layer is modelled, and the SQL and GraphQL endpoints are wired — validated against real queries in a sandbox before anything goes live.
- Source connection, auth, and schema introspection across your estate
- Semantic-layer modelling with governed, documented metrics
- Sandbox-validated cutover so the first real query works on day one
Or hand us the platform — managed federation operations
When you would rather focus on analysis, we run the query layer for you. We monitor query and source health, tune push-down and caching, keep the semantic model current, and act on what the data shows — with usage, cost, and observability reporting back to your team.
- Query-health and latency monitoring across the platform
- Push-down, caching, and source-connector upkeep
- RBAC-scoped, fully audited access — never shared credentials
A clear path from intent to impact
The same loop whether it is a one-week federation stand-up or a multi-quarter data-platform program — scoped, reviewable, and audited at every step.
Discover
We map your sources, workloads, governance needs, and the questions you want to answer — and agree on what "done" looks like before any work starts.
Plan
A scoped, reviewable plan: federation topology, semantic model, policy, push-down strategy, and rollout sequence — with checkpoints where it matters.
Build
We connect sources, model the semantic layer, wire the endpoints, and validate everything in a sandbox — shipping in increments you can see.
Operate
We hand over with docs and enablement, or stay on to run the query layer — monitored, audited, and reporting from the first day.
We leave your team able to run it without us
Every engagement ships documentation, golden-path playbooks, and hands-on enablement. Whether you keep us on to operate the query layer or take the keys yourself, your analysts, engineers, and platform owners understand the platform — not just the console.
- Role-based workshops for analysts, engineers, and platform teams
- SQL, GraphQL, CLI, MCP, and SDK enablement so teams extend it themselves
- Onboarding checklists and curated learning paths
Support & SLAs
From standard support to priority response with defined SLAs, we keep your federation running — incident response, upgrade guidance, and a named point of contact for enterprise engagements. Tiers are scoped to your plan and operational needs.
Let's scope what you need
Tell us about your sources, your governance bar, and the questions you want to answer across them. We will recommend the right mix of consulting, implementation, operations, and enablement — and a plan to get there.