Azure Data Fundamentals Certification Companion

Transform your understanding of data and take your career to the next level. This book not only helps you prepare for an exam, but also helps you build a foundation for a future in the ever-expanding world of data and cloud computing.

The book starts with an exam overview to take you through the structure and format of the exam. You will go through the foundational knowledge in core data concepts, explaining how structured, semi-structured, and unstructured data are stored and managed, as well as the roles of key data professionals. The journey continues with relational data on Azure, covering database normalization, SQL fundamentals, and Azure’s relational database offerings, including SQL Server, MySQL, and PostgreSQL. The book then delves into non-relational data, exploring Azure Blob Storage, Table Storage, and Cosmos DB, providing insights into their use cases and applications. The book also covers analytics workloads, focusing on large-scale data processing, real-time analytics, and data visualization using Power BI.

The book concludes with an exam preparation guide, offering structured study plans, practice questions, and a full-length mock test to help you gain confidence and excel on the DP-900 certification exam.

WHAT YOU WILL LEARN

* Understand structured, semi-structured, and unstructured data, and the difference between transactional and analytical workloads
* Understand relational databases and Azure services such as Azure SQL Database and Managed Instance
* Explore storage solutions such as Azure Blob Storage and Azure Cosmos DB for handling diverse data types
* Discover tools such as Azure Synapse Analytics, Azure Databricks, and Power BI for analyzing and visualizing data

WHO THIS BOOK IS FOR

Azure data engineers, data analysts, and database administrators

Chapter 1: Exam Overview and Structure.- Chapter 2: Understanding Core Data Concepts.- Chapter 3: Working with Relational Data on Azure.- Chapter 4: Exploring Non-Relational Data on Azure.- Chapter 5: Analytics Workloads on Azure.- Chapter 6: Exam Preparation and Practice.