Description

Gain the skills to pass the DP-203: Data Engineering on Microsoft Azure exam This course has been created in partnership with Microsoft. Over recent years, the data generated by systems and devices has increased massively. On this course, you’ll explore the generation, storage, and management of data using various technologies and platforms and prepare to take the DP-203 exam. Learn the fundamentals of Azure for the data engineer Data professionals must understand the evolving data landscape and the roles and technologies that have changed with it. You’ll investigate data platforms, including cloud technologies, and examine a data engineer’s role in helping organizations benefit from technological advances. Improve data integration using Azure Synapse Analytics A data engineer’s responsibilities include building and maintaining secure data processing pipelines, and explaining these processes to stakeholders. Using Azure Data Factory and Azure Synapse Pipeline, you’ll learn to manage data pipelines and build analytical solutions that align with business requirements. Identify new organizational opportunities using emerging technologies Using tools such as Apache Spark, you’ll be able to boost the performance of big-data analytic applications, taking your data visualization and analysis skills to the next level. With a range of exercises aimed to get you comfortable working across Azure’s suite, you’ll finish this course able to optimize, monitor, and manage your data engineering workload, whatever the scale. By the end of this course, you’ll have gained the introductory knowledge in preparation for the DP 203 exam. By continuing your learning with Introduction to Data Engineering with Microsoft Azure 2, you’ll equip yourself with all the necessary knowledge to pass the exam and progress your career in data engineering. This course is designed for data professionals who want to prepare for the DP 203: Data Engineering on Microsoft Azure exam. Learners should follow this course with Introduction to Data Engineering with Microsoft Azure 2, to ensure they have all the knowledge required to take the DP 203 exam. It’s recommended that you already have a solid understanding of data processing languages, as well as parallel processing and data architecture patterns before taking the exam.

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Syllabus

Syllabus Azure for the Data EngineerUnderstand the evolving world of dataSurvey the services on the Azure Data platformIdentify the tasks of a data engineer in a cloud-hosted architectureStore data in AzureChoose a data storage approach in AzureCreate an Azure Storage accountConnect an app to Azure StorageSecure your Azure Storage accountStore application data with Azure Blob storageData integration at scale with Azure Data Factory or Azure Synapse PipelineIntegrate data with Azure Data Factory or Azure Synapse PipelinePetabyte-scale ingestion with Azure Data Factory or Azure Synapse PipelinePerform code-free transformation at scale with Azure Data Factory or Azure Synapse PipelinePopulate slowly changing dimensions in Azure Synapse Analytics pipelinesOrchestrate data movement and transformation in Azure Data Factory or Azure Synapse PipelineExecute existing SSIS packages in Azure Data Factory or Azure Synapse PipelineOperationalize your Azure Data Factory or Azure Synapse PipelineRealize Integrated Analytical Solutions with Azure Synapse AnalyticsIntroduction to Azure Synapse AnalyticsSurvey the Components of Azure Synapse AnalyticsExplore Azure Synapse StudioDesign a Modern Data Warehouse using Azure Synapse AnalyticsWork with Data Warehouses using Azure Synapse AnalyticsDesign a multidimensional schema to optimize analytical workloadsUse data loading best practices in Azure Synapse AnalyticsOptimize data warehouse query performance in Azure Synapse AnalyticsIntegrate SQL and Apache Spark pools in Azure Synapse AnalyticsUnderstand data warehouse developer features of Azure Synapse AnalyticsManage and monitor data warehouse activities in Azure Synapse AnalyticsAnalyze and optimize data warehouse storage in Azure Synapse AnalyticsSecure a data warehouse in Azure Synapse AnalyticsPerform data engineering with Azure Synapse Apache Spark PoolsAnalyze data with Apache Spark in Azure Synapse AnalyticsIngest data with Apache Spark notebooks in Azure Synapse AnalyticsTransform data with DataFrames in Apache Spark Pools in Azure Synapse AnalyticsIntegrate SQL and Apache Spark pools in Azure Synapse AnalyticsMonitor and manage data engineering workloads with Apache Spark in Azure Synapse Analytics Read more