Can Microsoft Fabric pull NetSuite, SAP and Shopify data into one reporting model?

• 01Three systems, three different extraction surfaces, and they are not interchangeable. NetSuite is read over its analytics ODBC/JDBC connection or its REST and SuiteQL endpoints under token-based credentials; Shopify over the Admin API, using the bulk operations endpoint to backfill history because the per-call throttle makes a year of orders slow to page through; SAP over a released extractor, a CDS view, or an SLT or BW replica — not a direct read of production tables, where both the load on the transactional instance and SAP table structures argue against it.
• 02Usually only SAP needs a gateway. An on-premises SAP system or a replica inside your network is reached by an on-premises data gateway, which makes an outbound connection, so no inbound firewall port is opened. NetSuite and Shopify are public APIs and need none. A cloud S/4HANA estate is normally reached over published OData or CDS services, so an on-premises ECC estate and a cloud S/4 estate are genuinely different integration jobs carrying the same name — confirm which services your release exposes before sizing the work.
• 03The key-matching work is the project. A Shopify customer is identified by email, a NetSuite customer by an internal id, an SAP customer by a business-partner number, and nothing joins them natively. If middleware already syncs Shopify orders into NetSuite, the cross-reference field it writes is your join key — reuse it instead of fuzzy-matching on email. Where no key exists, a conformed customer dimension needs an explicit matching rule plus an explicit survivorship rule for which system wins on a conflicting name or address.
• 04Currency, tax and timing are where naive consolidation produces a wrong number quietly. Fix one conversion rate type and one rate date rather than summing mixed currencies; compute revenue from order lines rather than headers, because storefront totals can be tax-inclusive depending on store and region settings while an ERP posts tax to its own accounts; and conform one date dimension carrying both the Gregorian and the fiscal calendar, because an SAP posting date, a NetSuite transaction date and a UTC Shopify timestamp do not describe the same day. Multi-entity reporting adds a conformed chart of accounts mapping NetSuite subsidiaries and SAP company codes onto one set of accounts.
• 05Anchor the model on whichever system closes the books, then attach the others to it. The general ledger defines revenue and margin, the storefront owns demand, traffic and channel mix, and the third system owns fulfilment. Anchored that way, a number is argued once in a definition instead of three times in three meetings, and the reconciliation work is what disappears. At Daraz, reporting effort fell 60%. Everything is deployed as Fabric artifacts in your own Azure subscription, so no data leaves your tenant and your existing row-level security and Entra ID policies apply unchanged.
• 06Honest limit: if the three systems share no key and no middleware cross-reference exists, a reconciled customer view is a data-quality project in its own right rather than a reporting task. A first module in four to six weeks can realistically deliver conformed date, product and revenue reporting with each system tied back to the ledger; customer-level consolidation across all three often lands in a second increment, and a programme that needs all of it at once should be scoped at six to eight weeks or longer.

For the full explainer on this topic rather than this specific question, see the detailed guide on the blog.