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Explicit Measures Podcast — 573 episodes · page 3 of 6

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Title
201

373: Domain Leaders & Roles

202

372: New Pricing Updates to Power BI

203

371: Is an Effective Team Crucial for Success?

204

370: Opening Up OneLake for Adoption

205

369: Mass Format & Recover Power BI Reports with Semantic Links

206

368: MAILBAG! From Beginner, Intermediate, and Advanced Roles in Fabric

207

367: Does Medallion Still Make Sense with Microsoft Fabric?

208

366: Complete It or Kill It? Power BI Preview

209

365: MAILBAG! Brining in Dynamics Data Into Mirosoft Fabric

210

364: Domains, Tags, & Workspaces

211

363: Resources for Advanced Visuals in Power BI

212

362: Let's Talk Default Semantic Models

213

361: Gen 1 vs. Gen 2 Power BI Dataflows

214

360: Myths, Magic, & CoPilot

215

359: CLM Series Part 7 - Archive & Retire Content

216

358: Mailbag! Crafting Power BI Workspace Policies

217

357: Adopting Microsoft Fabric Scenarios

218

356: Your First 3 Months in a new BI Job

219

355: CLM Part 6 - Support & Monitor Content

220

354: Mailbag! Power BI Self Service - Not Catching On?

221

353: Power BI Premium is Dead - Moving Forward

222

352: Rolling out Power BI Deployment Pipelines

223

351: CLM Series Part 5 - Deploy Content

224

350: Getting Your Dream Job

225

349: Mailbag! Naming Items & Teaching Others

226

348: Content Lifecycle Management Part 4 - Validate

227

347: How Do You Use Microsoft Fabric?

228

346: MAILBAG! Sharing Reports with Free Isers

229

345: Mailbag! What To Do for a New Opportunity

230

344: Revisiting Writeback & Microsoft Fabric

231

343: Atomic Design, Power BI, and Workflows

232

342: Exploring OneLake Explorer Use Cases

233

341: CLM Part 3 - Develop & Manage Content

234

340: The Power BI Skills Matrix in the Age of Microsoft Fabric

235

335: Content Lifecyle Management (CLM) & Power BI Series - 1

236

339: CLM Series 2 - Plan & Design Content

237

338: MAILBAG! Overcoming Challenges in a CoE Rollout

238

337: The 3-30-300 Rule of Reporting

239

336: Microsoft Fabric's Impact on Developers

240

334: Should We Go Back To the Office?

241

333: From Creative Solutions to Data Products

242

332: User Input Tables & Gold Models

243

331: Communication as CRUCIAL for Business Intelligence

244

330: Mailbag! Pipelines & Missing Features

245

329: Everything Is Still BI

246

328: Microsoft Fabric Is Team Sport

247

327: Mailbag! Is Microsoft Fabric Ready?

248

326: Uncovering Microsoft Fabric Security

249

325: Data Exploration & Spin Off Projects

250

324: The Separation of Data & Content

251

323: The Impact of Task Flows in Microsoft Fabric

252

322: Microsoft Build Fabric Update Avalanche

253

321: Building a Power BI Team

254

320: Mailbag x3

255

319: The Evolution & Future of Data Visualization

256

318: Role Shifts & Microsoft Fabric

257

317: Why Quick Wins Are So Important!

258

316: Metrics Hub Interview with Carly from Microsoft!

259

315: Fabric Deployment Models

260

314: The Importance of Semantic Link

261

313: The Art of the Possible With Demos

262

312: Abnormal Data Documentation

263

311: Power Query Paginated & Folders

264

310: Is It Too Much?

265

309: AI, Fabric, and the Future of Consulting

266

308: Fabric Updates & Security

267

307: Implications of the Fabric Community Conference Announcements

268

306: Let's Talk Power BI Templates

269

305: Fabric Lakehouse or Data Warehouse?

270

304: The Quality Problem

271

303: External Sharing to Customers - Can It Be Simple?

272

302: Internal Design - Success Requires Form & Function

273

301: Self Service BI as a Two Edged Sword

274

300: To 300, and Beyond!

275

299: Why AI Isn't Going To Solve Going To Solve Your Data Culture Problems

276

298: TMDL & The Future of Development

277

297: Implementation Tuesdays Part 10 - Deploy, Validate, & Closing Thoughts

278

296: Mailbag Rebuttal! Data Analysts vs. Data Visualization

279

295 : Implementation Tuesday Part 9 - Pl Deployment, Proofing, and Validation

280

294: Data Viz vs. Data Analytics

281

293: Implementation Tuesdays Part 8 - Solutions Planning & Gathering Requirements

282

292: Why One Person Can't do Everything in Data

283

291: Implementation Tuesdays Part 7 - Tacitical Initiatives & Solutions & Revisions

284

288: Requirements for Semantic Models

285

287: Implementation Tuesdays Part 5 - Tactical Planning Objectives

286

290: Mailbag Mania!

287

289: Implementation Tuesdays - Key Results in Tacitical Planning

288

286: Creativity in Power BI

289

285: Power BI Implementation Tuesdays - Strategic Goals

290

284: Down & Dirty With the Politics of Data

291

283: Implementation Tuesdays Part 3 - Stakeholders & Workshops

292

282: Power BI Year in Review - 2023 Edition

293

281: Implementation Tuesdays Part 2 - Strategic Research

294

280: The Future of Customer Understanding by Data Marc

295

279: Microsoft Fabric Secret Santa

296

278: Semantic Link & Great Expectations

297

277: Power BI Implementation Tuesdays - Strategic Planning

298

276: The Impact of the New Power BI Explore Feature

299

275: Business Alignment, Power BI, & Microsoft Fabric

300

274: Real Time Analytics in Power BI & Fabric