Capture & Ingest
Records land in CEDX Warehouse already linked to the canonical customer, employee, or vendor ID.
CEDX Warehouse is the managed analytical store for the estate: 320 tables tracked against freshness SLAs, credits and storage watched by domain, and natural-language answers that show their thinking steps and the SQL they ran.
"Our operators actually enjoy opening the workspace. Every screen is fast, legible, and grounded in live production dat..."
| Dataset / Semantic Metric | Upstream Estate Source | Data Owner & SLA Tier | Row Volume & Freshness | Lineage Health Score | Query p95 |
|---|---|---|---|---|---|
| fact_canonical_revenue_arrCEDX Warehouse · Record #1040 | CRM + Quotes + Books + Subscriptions | RevOps & FP&A Canonical | 48.2M Rows · 0.4s Lag | ● 100% Schema Validated | 42ms Query |
| dim_customer_360_healthCEDX Warehouse · Record #1041 | CRM + Desk + Product Analytics | Customer Success Core | 1.8M Entities · Live | ● Zero Orphan Keys | 28ms Query |
| mart_supply_chain_marginCEDX Warehouse · Record #1042 | Inventory + Warehouse + Payables | Operations BI Gold Tier | 19.4M Rows · 1.2s Lag | ● Lineage Verified | 64ms Query |
| events_web_and_product_streamCEDX Warehouse · Record #1043 | Web + Product Analytics SDK | Growth Engineering | 140M Events / Day | ● PII Scrubbed at Ingest | 51ms Query |
The Freshness SLA screen doesn't hide its worst row. ops.tickets_283 sits at the top: 81 hours old against a 4-hour SLA, 20.25× over, priority 1805.5. An honest warehouse leads with that.
Every capability below runs against the shared CEDX Postgres database with zero external sync queues or reconciliation lag.
320 tables carry age against SLA in a risk queue scored by impact: ops.tickets_283 at 81h against 4h, 20.25× over, with 26 consumers reading it anyway. An SLA simulator and the scoring model sit one tab away.
“What was net revenue last week?” returns $4.21M, down 3.8%, with the thinking steps listed: interpreted via the certified metric in sem_revenue_360, resolved core.orders, planned the SQL. The generated SQL prints below the answer.
4.2K credits a day and 84 TB of storage break down by domain (Commerce at a 1,420 credit index against Support's 210) and by warehouse, where report_3xl_5 burns 907 credits a day on 11 active queries.
Every figure below is directly inspectable in the running CEDX Warehouse application workspace with zero synthetic projections.
Click any screen below to inspect how CEDX Warehouse moves from initial intake to verified cross-estate completion.
Credits, active queries, storage and SLA breaches on one row; estate health reads 88 with the components listed. The alert feed explains itself: etl_large scanned 48 TB because an INSERT skipped the partition prune on raw.orders.
Stop paying Fivetran, dbt, Snowflake, and Tableau just to re-join the customer and invoice tables that your SaaS vendors split apart.
Records land in CEDX Warehouse already linked to the canonical customer, employee, or vendor ID.
Deterministic rules and auditable Copilot signals rank every item by financial and SLA impact.
Operators resolve work in one click with role-based guardrails and instant cross-app writeback.
Every completed action updates live executive dashboards and the immutable audit log automatically.
Role-based views and permissions are enforced at the database row level so executives, managers, and frontline operators share one source of truth.
Works the freshness risk queue: partition prunes, backfills, and the etl_large job that scanned 48 TB before the alert priced the fix.
Certifies the semantic views Ask grounds against (sem_revenue_360 and the 14 others) and watches credit-per-question against the daily total.
Watches warehouses up, cache hit and cost spikes: 11 of 18 warehouses running, 41% cache hit rate, 11 high cost spikes on the health ring.
CEDX Warehouse is not an isolated point tool. It reads and writes the exact same customer, ledger, and identity records as the rest of the CEDX software estate.
The 320 tables stay fresh because Sync's 72 jobs move 48.2M rows a day; a lag breach there lands here as a stale table.
The governed metric layer reads this catalog; the two Ask screens resolve through the same semantic views.
Answer embeds (30 of them, 63K questions in 30 days on the demo estate) execute against these governed views inside other products.
Ask AI sits on every Warehouse screen; the assistant cites the same tables and views the console tracks.
"Our operators actually enjoy opening the workspace. Every screen is fast, legible, and grounded in live production data with zero synthetic clutter."
"Having identity, least-privilege access, audit trails, and business applications on one kernel cut our security review and provisioning time by 82%."
"We started with one application to fix our most painful bottleneck, and added five more modules on the same login without a single migration project."
Drag the seat slider to compare your current stitched stack (Snowflake + Fivetran + Tableau Enterprise + Amplitude + Looker) against running CEDX Warehouse natively on the unified CEDX estate.
Explore the live CEDX Warehouse workspace on canonical demo data at /app/data-warehouse, or book a 30-minute architecture session to map your first entity rollout.
Instant browser access to CEDX Warehouse pre-loaded with canonical demo records and connected across the 132-application CEDX estate.