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Hybrid BI Architectures: Power BI + Google BigQuery & Looker (Advanced)

Learning Objectives

Module 1 – The New Era of Hybrid BI

Key Concepts

Connectivity and Performance

Module 2 – Connecting Power BI to BigQuery (Secure & Performant)

Step by Step (DirectQuery or Import):

Performance & Cost Tips

Looker and Fabric Interoperability

Module 3 – Looker Studio & Looker Platform for Fabric Users

Looker vs Looker Studio Quick Compare

Governance, Security, and Operations

Module 4 – Governance & Security in Multi Cloud BI

Governance Checklist (printable)

AI-Accelerated Analytics

Module 5 – AI Assistants in Hybrid BI (Copilot, Gemini, Claude)

Comparative Uses

Pattern: Orchestrated Insight

Capstone and Strategy

Module 6 – Hands On Project: Hybrid Executive Dashboard

Deliverables

Module 7 - Decision Matrix & Future Outlook

Future Trends (2026)

Practice and Assessment

FlashCards (Quick Review)

Scenario Quiz

Final Surveys

Appendix - MCG Fields (Copy Paste)

Hybrid BI Mastery: Microsoft Fabric, Power BI, BigQuery, Looker is an advanced, hands-on program for data leaders who need to design, govern, and scale analytics across Microsoft and Google clouds. You’ll learn how to connect Power BI securely to Google BigQuery, decide between DirectQuery and Import with confidence, and architect cross-cloud semantic models that balance performance, cost, and freshness. We go beyond connectivity to teach interoperability pillars: governance, observability, lineage, and FinOps. You’ll practice workload placement decisions—where to model, cache, and visualize—while aligning SLAs and compliance across vendors. The course shows how to operationalize reliable pipelines end to end, from ingestion to insight, with robust incident playbooks and cost controls. You’ll also leverage modern AI assistants—Copilot, Gemini, and Claude—to accelerate modeling, SQL/DAX generation, documentation, and narrative insights with enterprise guardrails. The capstone project culminates in a production-ready hybrid executive dashboard that blends Fabric/OneLake and BigQuery data, reuses shared metrics in Power BI and Looker, and ships with governance overlays, CI/CD, and observability. If you’re ready to turn multi-cloud complexity into a strategic advantage, this course is your blueprint.

Hybrid BI Mastery: Microsoft Fabric, Power BI, BigQuery, Looker

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            <p>Hybrid BI Mastery: Microsoft Fabric, Power BI, BigQuery, Looker equips entrepreneurs, business analysts, and AI-driven data professionals to design and operate high-impact analytics across clouds. The program begins by framing why hybrid matters now—multi-cloud realities, data gravity, compliance, and best-of-breed tooling—then guides you through reference architectures that pair Microsoft Fabric/OneLake and Power BI with Google BigQuery and Looker/Looker Studio. You will learn to place workloads intentionally—where to model, query, cache, and visualize—while balancing SLAs, governance, interoperability, and FinOps. From the outset, we build on prior Power BI fundamentals and expand to cross-cloud semantic layers, governed data flows, and robust identity models that bridge Entra ID and Google IAM.</p>
<p>The core of the course dives into secure, performant connectivity between Power BI and BigQuery, comparing DirectQuery, Import, and Dual storage modes for freshness, user experience, and cost control. You will operationalize composite models, aggregations, BI Engine, and result caching; validate with Performance Analyzer and INFORMATION_SCHEMA; and implement incident playbooks and capacity planning. For teams standardizing metrics across tools, the Looker modules show when to use Looker Platform versus Looker Studio, how LookML can complement Power BI semantic models, and how to align governance, lineage, and delivery without duplicating definitions. A dedicated governance track covers cross-platform RLS/CLS, encryption and DLP, Purview and BigQuery cataloging, CI/CD for semantic layers, and printable checklists for access, lifecycle, cost guardrails, observability, and AI governance.</p>
<p>AI-accelerated analytics are woven throughout. You will evaluate Copilot, Gemini, and Claude for modeling assistance, DAX/SQL generation, documentation, and narrative insights—always with clear boundaries for privacy, explainability, and human-in-the-loop approvals. The “Orchestrated Insight” pattern demonstrates an end-to-end flow—from ingestion to semantic model to visualization—augmented by automation, validation, and sandboxing to protect PII. The hands-on capstone delivers a hybrid executive dashboard that blends Fabric and BigQuery sources, unifies KPIs across Power BI and Looker, and includes refresh orchestration, cost monitoring, and an operational runbook.</p>
<p>To close, a decision matrix helps you select where to compute, model, and visualize given latency, concurrency, governance, interoperability, and budget constraints. You will define operating roles and a scalable talent roadmap, then explore future trends such as converging semantic layers, cross-cloud query acceleration, AI-native BI with stronger lineage, and policy-driven FinOps automation. By the end, you will be able to architect, govern, and optimize hybrid BI solutions that are reliable, observable, and cost-effective—ready to support executive decisions and product-led growth in multi-cloud environments.</p>
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