MC Azure data fundamentals study guide

The most authoritative and complete study guide for people beginning to work with data in the Azure clo.ud In MC Azure Data Fundamentals Study Guide: Exam DP-900, expert Cloud Solution Architect Jake Switzer delivers a hands-on blueprint to acing the DP-900 Azure data certification. The book prepare...

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Detalles Bibliográficos
Otros Autores: Switzer, Jake, author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Indianapolis, Indiana : John Wiley and Sons [2022]
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009659940806719
Tabla de Contenidos:
  • Cover
  • Title Page
  • Copyright Page
  • Acknowledgments
  • About the Author
  • About the Technical Editor
  • Contents at a Glance
  • Contents
  • Introduction
  • Who Should Read This Book?
  • What's Included in the Book?
  • Recommended Home Lab Setup
  • Interactive Online Learning Environment and Test Bank
  • DP-900 Exam Objectives
  • Domain 1: Describe Core Data Components
  • Subdomain 1a: Describe types of core data workloads
  • Subdomain 1b: Describe data analytics core concepts
  • Domain 2: Describe How to Work with Relational Data on Azure
  • Subdomain 2a: Describe relational data workloads
  • Subdomain 2b: Describe relational Azure data services
  • Subdomain 2c: Identify basic management tasks for relational data
  • Subdomain 2d: Describe query techniques for data using SQL language
  • Domain 3: Describe How to Work with Nonrelational Data on Azure
  • Subdomain 3a: Describe nonrelational data workloads
  • Subdomain 3b: Describe nonrelational data offerings on Azure
  • Subdomain 3c: Identify basic management tasks for nonrelational data
  • Domain 4: Describe an Analytics Workload on Azure
  • Subdomain 4a: Describe analytics workloads
  • Subdomain 4b: Describe the components of a modern data warehouse
  • Subdomain 4c: Describe data ingestion and processing on Azure
  • Subdomain 4d: Describe data visualization in Microsoft Power BI
  • Assessment Test
  • Answers to the Assessment Test
  • Chapter 1 Core Data Concepts
  • Describe Types of Core Data Workloads
  • Data Value
  • Data Volume
  • Data Variety
  • Data Velocity
  • Describe Data Analytics Core Concepts
  • Data Processing Techniques
  • Describe Analytics Techniques
  • Describe Data Visualization Techniques
  • Summary
  • Exam Essentials
  • Review Questions
  • Chapter 2 Relational Databases in Azure
  • Relational Database Features
  • Relational Database Design Considerations.
  • Relational Database Offerings in Azure
  • Azure SQL
  • Azure Synapse Analytics Dedicated SQL Pools
  • Open-Source Databases in Azure
  • Management Tasks for Relational Databases in Azure
  • Deployment Scripting and Automation
  • Migrating to Azure SQL
  • Database Security
  • Common Connectivity Issues
  • Management Tools
  • Query Techniques for SQL
  • DDL vs. DML Commands
  • Query Relational Data in Azure SQL, MySQL, MariaDB, and PostgreSQL
  • Summary
  • Exam Essentials
  • Review Questions
  • Chapter 3 Nonrelational Databases in Azure
  • Nonrelational Database Features
  • Key-Value Store
  • Document Database
  • Columnar Database
  • Graph Database
  • Azure Cosmos DB
  • High Availability
  • Request Units
  • Azure Cosmos DB APIs
  • Management Tasks for Azure Cosmos DB
  • Deployment Options
  • Azure Cosmos DB Security
  • Azure Cosmos DB Common Connectivity Issues
  • Management Tools
  • Summary
  • Exam Essentials
  • Review Questions
  • Chapter 4 File, Object, and Data Lake Storage
  • File and Object Storage Features
  • Azure Storage
  • Performance Tiers
  • Data Redundancy
  • Deploying through the Azure Portal
  • Azure Storage Services
  • Management Tasks for Azure Storage
  • Deployment Scripting and Automation
  • Azure Storage Security
  • Azure Storage Common Connectivity Issues
  • Management Tools
  • Summary
  • Exam Essentials
  • Review Questions
  • Chapter 5 Modern Data Warehouses in Azure
  • Analytical Workload Features
  • Transactional vs. Analytical Workloads
  • Data Processing Techniques
  • Modern Data Warehouse Components
  • Data Modeling Best Practices for Data Warehouses
  • Azure Services for Modern Data Warehouses
  • End-to-End Analytics with Azure Synapse Analytics
  • Deploying an Azure Synapse Analytics Workspace
  • Navigating the Synapse Studio UI
  • Dedicated SQL Pools
  • Serverless SQL Pools
  • Summary
  • Exam Essentials
  • Review Questions.
  • Chapter 6 Reporting with Power BI
  • Power BI at a Glance
  • Working with Power BI
  • Summary
  • Exam Essentials
  • Review Questions
  • Appendix Answers to the Review Questions
  • Chapter 1: Core Data Concepts
  • Chapter 2: Relational Databases in Azure
  • Chapter 3: Nonrelational Databases in Azure
  • Chapter 4: File, Object, and Data Lake Storage
  • Chapter 5: Modern Data Warehouses in Azure
  • Chapter 6: Reporting with Power BI
  • Index
  • EULA.