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Microsoft Fabric Analytics Engineer Associate Study Guide. Hands-On Practice and Expert Tips for Acing the DP-600 Certification Exam Brian Břnk, Valerie Junk

(ebook) (audiobook) (audiobook) Język publikacji: angielski
Microsoft Fabric Analytics Engineer Associate Study Guide. Hands-On Practice and Expert Tips for Acing the DP-600 Certification Exam Brian Břnk, Valerie Junk - okladka książki

Microsoft Fabric Analytics Engineer Associate Study Guide. Hands-On Practice and Expert Tips for Acing the DP-600 Certification Exam Brian Břnk, Valerie Junk - okladka książki

Microsoft Fabric Analytics Engineer Associate Study Guide. Hands-On Practice and Expert Tips for Acing the DP-600 Certification Exam Brian Břnk, Valerie Junk - audiobook MP3

Microsoft Fabric Analytics Engineer Associate Study Guide. Hands-On Practice and Expert Tips for Acing the DP-600 Certification Exam Brian Břnk, Valerie Junk - audiobook CD

Autorzy:
Brian Břnk, Valerie Junk
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
441
Dostępne formaty:
     ePub
     Mobi
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Data drives modern business. The Microsoft Fabric Analytics Engineer Associate (DP-600) certification proves you understand the tools and technologies needed to turn that data into value. This comprehensive guide covers everything you need to know to design and implement enterprise-grade analytics solutions, and ace your certification exam.

Drawing on their extensive experience working with Microsoft Fabric and Power BI, Brian Bønk and Valerie Junk take you through preparing and transforming data, securing and managing analytics assets, and building and optimizing semantic models. You'll learn to work with data warehouses and lakehouses, ensuring data is structured and ready for analysis. You'll also discover how to query and analyze data using SQL, KQL, and DAX, which are essential skills for anyone working with Fabric.

Whether you're preparing for the exam or just looking to expand your Fabric expertise, this book gives you the foundation to succeed.

  • Prepare and enrich data for analysis
  • Work with, secure, and maintain analytics assets
  • Implement, manage, and optimize semantic models
  • Utilize data warehouses and lakehouses
  • Handle workspace access control and item-level access control

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