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Book Cover
E-book
Author Perkins, Benjamin

Title MCA Microsoft Certified Associate Azure Data Engineer Study Guide Exam DP-203
Published Newark : John Wiley & Sons, Incorporated, 2023

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Description 1 online resource (1011 p.)
Contents Cover Page -- Title Page -- Copyright Page -- Acknowledgments -- About the Author -- About the Technical Editor -- Contents at a Glance -- Contents -- Table of Exercises -- Introduction -- Part I Azure Data Engineer Certification and Azure Products -- Chapter 1 Gaining the Azure Data Engineer Associate Certification -- The Journey to Certification -- How to Pass Exam DP-203 -- Understanding the Exam Expectations and Requirements -- Use Azure Daily -- Read Azure Articles to Stay Current -- Have an Understanding of All Azure Products -- Azure Product Name Recognition -- Azure Data Analytics
Azure Synapse Analytics -- Azure Databricks -- Azure HDInsight -- Azure Analysis Services -- Azure Data Factory -- Azure Event Hubs -- Azure Stream Analytics -- Other Products -- Azure Storage Products -- Azure Data Lake Storage -- Azure Storage -- Other Products -- Azure Databases -- Azure Cosmos DB -- Azure SQL Server Products -- Additional Azure Databases -- Other Products -- Azure Security -- Azure Active Directory -- Role-Based Access Control -- Attribute-Based Access Control -- Azure Key Vault -- Other Products -- Azure Networking -- Virtual Networks -- Other Products -- Azure Compute
Azure Virtual Machines -- Azure Virtual Machine Scale Sets -- Azure App Service Web Apps -- Azure Functions -- Azure Batch -- Azure Management and Governance -- Azure Monitor -- Azure Purview -- Azure Policy -- Azure Blueprints (Preview) -- Azure Lighthouse -- Azure Cost Management and Billing -- Other Products -- Summary -- Exam Essentials -- Review Questions -- Chapter 2 CREATE DATABASE dbName -- The Brainjammer -- A Historical Look at Data -- Variety -- Velocity -- Volume -- Data Locations -- Data File Formats -- Data Structures, Types, and Concepts -- Data Structures
Data Types and Management -- Data Concepts -- Data Programming and Querying for Data Engineers -- Data Programming -- Querying Data -- Understanding Big Data Processing -- Big Data Stages -- ETL, ELT, ELTL -- Analytics Types -- Big Data Layers -- Summary -- Exam Essentials -- Review Questions -- Part II Design and Implement Data Storage -- Chapter 3 Data Sources and Ingestion -- Where Does Data Come From? -- Design a Data Storage Structure -- Design an Azure Data Lake Solution -- Recommended File Types for Storage -- Recommended File Types for Analytical Queries -- Design for Efficient Querying
Design for Data Pruning -- Design a Folder Structure That Represents the Levels of Data Transformation -- Design a Distribution Strategy -- Design a Data Archiving Solution -- Design a Partition Strategy -- Design a Partition Strategy for Files -- Design a Partition Strategy for Analytical Workloads -- Design a Partition Strategy for Efficiency and Performance -- Design a Partition Strategy for Azure Synapse Analytics -- Identify When Partitioning Is Needed in Azure Data Lake Storage Gen2 -- Design the Serving/Data Exploration Layer -- Design Star Schemas -- Design Slowly Changing Dimensions
Notes Description based upon print version of record
Design a Dimensional Hierarchy
Form Electronic book
ISBN 9781119885443
1119885442