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All Episodes

Explicit Measures Podcast — 571 episodes · page 1 of 6

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Title
1

572: Does the Ontology Agent Change Our Minds?

2

571: Fabric Notebook Toolkit - Measuring the Impact

3

570: PADU & Fabric

4

569: Signal & Reporting - Write Back Belongs Where?

5

568: FabCon Barcelona - Feature Draft

6

567: Picking the Right Model for the Task

7

566: Agentic Dev of PBI Reports

8

565: Your Identity is Bigger Than Power BI

9

564: Data Literacy in the AI Era

10

563: Fabric Apps Fit into the PBI World

11

562: The Fabric Handoff

12

561: Using AI for Data Viz

13

560: Data Agents Got an Upgrade

14

559: What is Liquid Clustering?

15

558: Has Your Medallion Patterns Changed?

16

557: LLMs: What Data Viz Teaches Us

17

556: Power BI Desktop Bridge Tips

18

555: Anonymous Rayfin Fabric Apps

19

554: Fabric as a Backend (FaaB)

20

553: Crawl, Walk, Run with Agentic Power BI Assets

21

552: Talking Power BI Desktop Bridge

22

551: Return of the Composite Model

23

550: The State Business Intelligence Platforms in the Age of AI

24

549: Training Jr Staff on Agents for DAX

25

548: Can We Trust AI Pipelines

26

547: The Hype of RayFin

27

546: Teaching Orgs to Question Themselves

28

545: Agents Helping with Data Governance

29

544: Using Harnesses for Fabric Projects

30

543: Tracking App Usage in Fabric

31

542: Orgs Slow on AI Adoption

32

541: Helping Leaders Speak Data

33

540: Self Service with AI Part 2 - Governance, Skills, & Validation

34

539: Self Service Analytics with AI

35

538: Team vs Individual Microsoft Fabric Agent skills

36

537: Are We Now Professional QA?

37

536: All About RayFin

38

535: Microsoft Build 2026 Recap

39

534: CI/CD Automation with Agents in Fabric

40

533: Claude Design & Power BI Embedded

41

531: You are Wasting your Time!

42

530: Agentic Skill & Report Design

43

529: Does AI Drive Your CoE?

44

528: The Importance of Skills for the Fabric Developer

45

527: Semantics Layer Genie & Data Agents

46

526: Stop Using Bookmarks

47

525: Less Guessing? More Building!

48

524: Our Most Underrated Fabric Features

49

520: Overfed and Sick Golden Datasets

50

519: Tools & Strategies for Marketing Insights Integration

51

523: Databricks, Fabric, Devleopment and Vibe

52

522: Improving Your AI Skills Your Fabric

53

521: Looking at AI Assisted Development

54

518: FabCon 2026 Recap Part 2

55

517: FabCon 2026 Recap Part 1

56

516: Subscriptions as a Silent Hero

57

515: DAX Complexity & Power Query ETL Tips

58

514: Help! How Do We CI/CD with TMDL + PBIR in Azure DevOps

59

513: Git Best Practices: Diff Noise & Naming

60

512: Publish to Web vs. Embedded – Security & Public-Facing Reports

61

511: Mailbag! Scaling a Power BI Side Hustle – Marketing & Growth as a Family Man

62

510: "What's Next?" – Building a 3-Year Power BI Roadmap After a Successful Rollout

63

509: Fabric Ideas That Stick & Reading What's Next

64

508: Kicking Off Fabric the Right Way

65

507: AI-Assisted TMDL Workflow & Hot Reload

66

504: Living in a Direct Lake Only World

67

506: Mailbag! Filter Overload

68

505: Excel vs. Field Parameters

69

503: Hiring the Report Developer

70

502: Trusting In Microsoft Fabric

71

501: Central BI & Workspace Strategies

72

500: We Made It!

73

499: MAILBAG! Late Adopter Advantage? AI Readiness

74

498: MAILBAG! Define the Problem Before Tools?

75

497: MAILBAG! Remote Fabric Jupyter & Local VSCode?

76

496: MAILBAG! Experience Overuse

77

495: Do You Really Need Fabric?

78

494: MCP Your Fabric Data

79

493: AI Drives Microsoft Fabric Success

80

492: The 2025 Fabric Made Up Awards

81

491: Our Fabric Resolutions

82

490: Revisiting Dataflows Gen 2

83

489: Why Fabric IQ Will Cause Friction

84

488: Fabric Gift Exchange

85

487: The Intelligence Developer

86

486: Backward Ontology

87

485: 1-Click Notebooks For Semantic Models

88

484: Data Governance in the Age of Fabric IQ

89

483: Let’s Talk Semantic Modeling on the Web

90

482: Microsoft Ignite & Fabric IQ

91

481: From Fragmented Models to Unified Semantics

92

480: Kill Your Data Team - Why Product Teams Should Own Data

93

479: Mailbag! Tracking App Usage at Scale

94

478: MAILBAG! Untangling Workspace, Branching, and Artifact Chaos

95

477: Mailbag! Start With Why

96

476: New Feature Announcement - Semantic Bridge

97

475: Source Control in BI - Necessary, Painful, or Both?

98

474: Modeling Without the Keyboard

99

473: DevEx for Pros - UDFs, TI, and the Tools That Stick

100

472: Getting Started with Real Time Intelligence