DP-203: Data Engineering on Microsoft Azure Exam/Learning Path: https://docs.microsoft.com/certifications/exams/dp-203 Learning Path Module Week Azure for the Data Engineer Understand the evolving world of data 1 Survey the services on the Azure Data platform 1 Identify the tasks of a data engineer in a cloud-hosted architecture 2 Store data in Azure Choose a data storage approach in Azure 2 Create an Azure Storage account 2 Connect an app to Azure Storage 3 Secure your Azure Storage account 4 Store application data with Azure Blob storage 5 Data integration at scale with Azure Data Factory or Azure Synapse Pipeline Integrate data with Azure Data Factory or Azure Synapse Pipeline 6 Petabyte-scale ingestion with Azure Data Factory or Azure Synapse Pipeline 7 Perform code-free transformation at scale with Azure Data Factory or Azure Synapse Pipeline 8 Populate slowly changing dimensions in Azure Synapse Analytics pipelines 8 Orchestrate data movement and transformation in Azure Data Factory or Azure Synapse Pipeline 9 Execute existing SSIS packages in Azure Data Factory or Azure Synapse Pipeline 9 Operationalize your Azure Data Factory or Azure Synapse Pipeline 10 Realize Integrated Analytical Solutions with Azure Synapse Analytics Introduction to Azure Synapse Analytics 11 Survey the Components of Azure Synapse Analytics 12 Explore Azure Synapse Studio 13 Design a Modern Data Warehouse using Azure Synapse Analytics 14 Work with Data Warehouses using Azure Synapse Analytics Design a Modern Data Warehouse using Azure Synapse Analytics 15 Analyze data in a relational data warehouse 16 Use data loading best practices in Azure Synapse Analytics 17 Optimize data warehouse query performance in Azure Synapse Analytics 18 Integrate SQL and Apache Spark pools in Azure Synapse Analytics 19 Understand data warehouse developer features of Azure Synapse Analytics 19 Manage and monitor data warehouse activities in Azure Synapse Analytics 20 Analyze and optimize data warehouse storage in Azure Synapse Analytics 20 Secure a data warehouse in Azure Synapse Analytics 21 Perform data engineering with Azure Synapse Apache Spark Pools Analyze data with Apache Spark in Azure Synapse Analytics 22 Use Delta Lake in Azure Synapse Analytics 23 Integrate SQL and Apache Spark pools in Azure Synapse Analytics 24 Monitor and manage data engineering workloads with Apache Spark in Azure Synapse Analytics 24 Work with Hybrid Transactional and Analytical Processing Solutions using Azure Synapse Analytics Plan hybrid transactional and analytical processing using Azure Synapse Analytics 24 Implement Azure Synapse Link with Azure Cosmos DB 25 Implement Azure Synapse Link for SQL 26 Data engineering with Azure Databricks Explore Azure Databricks 27 Use Apache Spark in Azure Databricks 28 Use Delta Lake in Azure Databricks 29 Use SQL Warehouses in Azure Databricks 30 Run Azure Databricks Notebooks with Azure Data Factory 31 Large-Scale Data Processing with Azure Data Lake Storage Gen2 Introduction to Azure Data Lake storage 32 Upload data to Azure Data Lake Storage 32 Secure your Azure Storage account 33 Implement a Data Streaming Solution with Azure Streaming Analytics Work with data streams by using Azure Stream Analytics 33 Enable reliable messaging for Big Data applications using Azure Event Hubs 34 Ingest data streams with Azure Stream Analytics 35