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DP-500: Designing and Implementing Enterprise-Scale Analytics Solutions Using Microsoft Azure and Microsoft Power BI Study Guide First Edition

DP-500: Designing and Implementing Enterprise-Scale Analytics Solutions Using Microsoft Azure and Microsoft Power BI Study Guide First Edition

$29.99

Description

DP-500: Designing and Implementing Enterprise-Scale Analytics Solutions Using Microsoft Azure and Microsoft Power BI Study Guide with Practice Questions and Labs: First Edition – 2024

DP-500: Designing and Implementing Enterprise-Scale Analytics Solutions Using Microsoft Azure and Microsoft Power BI study guide validates your expertise in utilizing Microsoft Azure and Microsoft Power BI to transform raw data into actionable insights, catering to the needs of large organizations.

This highly practical, intensive, comprehensive book will teach you to become an Azure Enterprise Data Analyst Associate certified. This book is well renowned for its level of depth, evaluation features, and hard review questions and exercises. It will help you learn the ideas and strategies necessary to pass the exam the first time. The latest edition includes:

  • Content that covers a complete exam blueprint
  • Practice Questions
  • Mind maps
  • Hands-on practice labs.
  • Real-world examples
  • Exam tips

 

This latest DP-500 Certification Exam Prep Specialization consists of different objectives that will act as a bedrock of fundamental knowledge to prepare you for the Azure Enterprise Data Analyst Associate certification exam.

Table of Contents:

  • Course Introduction
  • Chapter 01: Introduction to Azure
  • Chapter 02: Introduction to Data Analytics on Azure
  • Chapter 03: Govern Data Across an Enterprise
  • Chapter 04: Work with Data in Azure Synapse
  • Chapter 05: Prepare Data for Tabular Models in Power BI
  • Chapter 06: Design and Build Tabular Models
  • Chapter 07: Implement Advanced Data Visualization Techniques by Using Power BI
  • Chapter 08: Implement and Manage an Analytics Environment
  • Chapter 09: Manage the Analytics Development Lifecycle

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