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MASTERING POWER QUERY in POWER BI

MASTERING POWER QUERY in POWER BI


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About the Book

Welcome to the enthralling world of "Mastering Power Query in Power BI: Efficient Data Queries" Unveil the secrets of data transformation and visualization as you harness the full potential of Power BI's remarkable capabilities.

From the very foundation, this book will guide you through Power Query's intuitive interface and fundamental data transformation steps. Dive into filtering, sorting, merging, and splitting data, acquiring the skills to transform raw information into actionable intelligence effortlessly.

Venture further to unlock the immense power of advanced transformation tools. Embrace the art of wielding the M language and complex functions, making data wrangling an art form. Bid farewell to irregular data with essential error-handling techniques, ensuring data quality and reliability.

But the heart of data lies in integration, and this book has you covered. Explore the art of combining data from multiple sources with ease. Harmonize diverse datasets and create cohesive data models that reveal a comprehensive picture.

Featuring hands-on practice and exercises, you'll apply your newfound skills to real-world scenarios, creating data visualizations that speak volumes and bring insights to life.

Yet, our journey doesn't end there. Discover how Power Query seamlessly blends with Microsoft Excel, Power Apps, and Power Automate, expanding your data management capabilities beyond Power BI.

As you progress through the chapters, curiosity will beckon you to explore further. Unveil the hidden potential of "Power Query in Power BI: Creating and Managing Efficient Data Queries." Embrace the challenges, empower yourself with data's true might, and shape the destiny of businesses and individuals alike.

The journey awaits! Let's embark together on this fascinating adventure.


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Product Details
  • ISBN-13: 9798854238205
  • Publisher: Amazon Digital Services LLC - Kdp
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Sub Title: Efficient Data Queries
  • Width: 191 mm
  • ISBN-10: 8854238201
  • Publisher Date: 30 Jul 2023
  • Height: 235 mm
  • No of Pages: 90
  • Spine Width: 5 mm
  • Weight: 222 gr


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