Microsoft Fabric Training & Learning Hub — From OneLake Basics to Enterprise Lakehouse

Yes — Microsoft Fabric training resources span four tiers. (1) Free Microsoft-authored content: the Microsoft Learn Fabric learning paths (covering OneLake, Lakehouse, Warehouse, Data Engineering, Data Science, Real-Time Analytics, and Data Factory in Fabric); the official Microsoft Fabric documentation set at learn.microsoft.com/fabric; the Microsoft Fabric YouTube channel (feature launches, FabCon recordings, OneLake / Direct Lake deep dives); the Microsoft Fabric Community forum at community.fabric.microsoft.com; the DP-600 Fabric Analytics Engineer Associate and DP-700 Fabric Data Engineer Associate certification study paths; the Microsoft Reactor live workshops. (2) Free community content: the Guy in a Cube YouTube channel from Microsoft's Adam Saxton and Patrick LeBlanc; the monthly Fabric Update blog posts; the Fabric User Groups directory. (3) Paid self-paced platforms: Pragmatic Works course catalog, Coursera Microsoft specializations, DataCamp Fabric tracks, LinkedIn Learning. (4) Enterprise-customized programs from consulting firms — EPC Group offers a self-paced certified Fabric curriculum, 1-3 day custom workshops built on your OneLake tenant, a Fabric Architecture Certification program, and a 12-week Center-of-Excellence rollout. Beginners start with the Microsoft Learn DP-600 path; engineers add the DP-700 path; architects need a senior-architect-led Fabric Architecture Certification; admins need a CoE operating model on top of the technical training.

The fastest path to getting started with Microsoft Fabric is a five-step ramp that takes a new learner from zero to a working OneLake-backed report in roughly one working day. Step 1: sign up for the free Microsoft Fabric trial capacity (60 days) at app.fabric.microsoft.com — no credit card, no Azure tenant required for the trial. Step 2: complete the Microsoft Learn "Get started with Microsoft Fabric" learning path (about three hours) to understand the unified item catalog, workspaces, and OneLake. Step 3: build your first lakehouse — ingest a sample CSV (NYC Taxi is the canonical training dataset), use Dataflows Gen2 or a notebook to land it as Delta into the silver zone. Step 4: create a Direct Lake semantic model on top of the lakehouse, write three or four starter DAX measures, and publish a single-page Power BI report. Step 5: enable Fabric Git integration on the workspace, push the items to a repo, and walk through one promotion via a deployment pipeline. By the end you have a working medallion lakehouse, a Direct Lake semantic model, a report, and a CI/CD path — the same shape you will repeat for production workloads. The best free walkthroughs are the Microsoft Learn Fabric "Get started" path and the Guy in a Cube Fabric playlist on YouTube.

DP-600 is the "Implementing Analytics Solutions Using Microsoft Fabric" exam, which earns the Microsoft Certified: Fabric Analytics Engineer Associate credential. It is Microsoft's flagship Fabric certification and the canonical proof point for analysts and analytics engineers working on the Fabric platform. The exam covers four objective domains: (1) plan, implement, and manage a solution for data analytics (workspaces, capacities, lifecycle management, security); (2) prepare and serve data (ingest into the Lakehouse and Warehouse, transform with notebooks / dataflows / pipelines, optimize for Direct Lake); (3) implement and manage semantic models (modeling, DAX, optimization, RLS / OLS); (4) explore and analyze data (Power BI reports, paginated reports, exploration). The Microsoft Learn study path is free, the practice assessment is paid, and the exam itself is $165 USD. Companion exam: DP-700 (Fabric Data Engineer Associate) — covers the engineer's side of the same platform (Spark, pipelines, real-time analytics). EPC Group's self-paced Fabric curriculum is mapped to both exams and is the most common ramp our enterprise clients use to certify a whole analytics team in a single quarter.

Functionally yes for new analytics workloads, but with a managed coexistence period rather than a hard cutover. Microsoft Fabric is the successor platform that unifies what used to be Azure Synapse Analytics, Power BI Premium, Azure Data Factory, and Azure Data Explorer under one SaaS surface with OneLake as the shared storage layer. As of mid-2026, Microsoft is actively guiding new builds to Fabric — Synapse Dedicated SQL Pools remain available for existing customers, Synapse Serverless SQL is folded into the Fabric Warehouse experience, Synapse Spark pools are replaced by Fabric Spark runtimes, and Azure Data Factory pipelines have a Fabric equivalent (Data Factory in Fabric). Existing Synapse workspaces continue to run; new Synapse workspace creation is being phased out in favor of Fabric. The right migration pattern for most enterprises is incremental: leave production Synapse workloads in place, build all new analytics on Fabric, use OneLake shortcuts to federate against Synapse SQL Pool / ADLS Gen2, and migrate workload-by-workload as natural refresh cycles allow. EPC Group publishes the Synapse-to-Fabric coexistence playbook and the per-workload decision framework — what to migrate, what to federate, what to retire.

OneLake is the single, tenant-wide data lake built into Microsoft Fabric — Microsoft's answer to "OneDrive for data." Every Fabric tenant gets exactly one OneLake; every Fabric item (lakehouse, warehouse, KQL database, semantic model, ML model) stores its data in OneLake under a hierarchical workspace + item namespace. OneLake is built on Azure Data Lake Storage Gen2, uses Delta-Parquet as the canonical storage format, and exposes data via three access patterns: (1) native Fabric experiences (Lakehouse, Warehouse, Power BI Direct Lake, notebooks); (2) OneLake shortcuts — virtualized pointers to data living in ADLS Gen2, Amazon S3, Google Cloud Storage, Dataverse, or another OneLake; (3) external readers — any tool that speaks ADLS Gen2 or the Delta protocol (Databricks, Snowflake via Iceberg, Trino) can read OneLake without copying. The defining design property: OneLake eliminates duplicate copies of the same dataset for analytics, BI, ML, and real-time use cases. EPC Group's OneLake medallion reference architecture — bronze / silver / gold zoning, domain-aligned workspaces, shortcut hygiene, and sensitivity-label inheritance — is the most-used pattern in our Fabric engagements.

Fabric training time depends on the target role and the starting point. A Power BI analyst moving to the Fabric Analytics Engineer role typically needs 25 to 40 hours of study to be DP-600 ready (Microsoft Learn study path + practice labs + a mock exam). A data engineer ramping into Fabric (assuming existing Spark / ADF experience) typically needs 35 to 50 hours for DP-700 readiness — Lakehouse engineering, Fabric Spark runtimes, Data Factory in Fabric, real-time analytics. A data architect designing a Fabric tenant typically needs 60 to 80 hours including OneLake medallion design, capacity sizing, Snowflake coexistence, and Purview-anchored governance. A tenant admin / CoE lead typically needs 30 to 40 hours for the admin track plus separate operating-model design work. EPC Group's typical enterprise rollout calendarizes this as: self-paced curriculum kickoff (week 1), DP-600 readiness milestone (week 4), DP-700 readiness milestone (week 6), 1-3 day custom workshop (week 8), Fabric Architecture Certification sprint (weeks 9-14). The 12-week Fabric CoE rollout overlays training onto operating-model design so the team can ship governed workloads on the other side, not just pass exams.

Yes — Fabric training is one of EPC Group's core delivery formats. We offer four formats, mapped to team size and outcome. (1) Self-paced certified Fabric curriculum (~30 hours over six modules) mapped to DP-600 and DP-700, delivered as on-demand video plus a downloadable reference lakehouse and a 30-day senior-architect Q&A channel — best for individual analysts and small teams. (2) Custom enterprise workshops (1-3 days, cohort of 8-30) designed around your actual OneLake tenant, your sources, and your backlog — common variants are OneLake medallion deep dive, Direct Lake performance workshop, Fabric Data Factory at scale, Copilot-in-Fabric grounding readiness, and Snowflake → Fabric coexistence. (3) Fabric Architecture Certification — a six-week per-workload sprint that certifies a Fabric workload (lakehouse + semantic model + downstream reports) for audit and Copilot grounding, output is a certification badge in the tenant plus a defensible review trail. (4) 12-week Center-of-Excellence rollout — combines all of the above with operating-model design for CIOs, CDOs, and Chief Data Architects. Every format includes senior-architect feedback (no junior delivery), and every format ties to a measurable outcome — certified workload, capped capacity, audited tenant — not just attendance hours.

Fabric consulting and training pricing has four typical tiers. (1) Self-paced certified Fabric curriculum: fixed per-seat fee covering ~30 hours of video, the reference lakehouse, and a 30-day senior-architect Q&A channel — the cheapest option and the one most clients start with for the analyst guild. (2) Custom enterprise workshops (1-3 days): fixed-fee per workshop based on duration and cohort size, includes pre-engagement scoping, a working production-grade lakehouse + semantic model built during the workshop, and recorded sessions. (3) Fabric Architecture Certification: fixed-fee per certified workload (six-week sprint), priced by workload complexity (single-domain vs multi-domain, single-capacity vs multi-capacity, regulated vs non-regulated). (4) 12-week Center-of-Excellence rollout: fixed-fee engagement priced by tenant footprint and number of practitioner cohorts, includes operating-model design, the 30 / 60 / 90 adoption playbook, and the AI-grounding readiness checklist. EPC Group publishes pricing on a per-engagement scoping call rather than a public rate card because real Fabric pricing depends on tenant footprint, capacity SKU mix, and regulatory posture — the same engagement scoped at $50K for a non-regulated mid-market client may scope at $250K for a HIPAA-regulated multi-domain Fortune 500 build. Book a scoping call for a fixed-fee proposal in five business days.