riversongs Posted April 10 Report Share Posted April 10 Free Download Data Engineering On Microsoft AzurePublished 4/2024MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHzLanguage: English | Size: 3.44 GB | Duration: 6h 24mDP 203 - Azure Data Engineer AssociateWhat you'll learnImplement a partition strategyDesign and implement the data exploration layerIngest and transform dataDevelop a batch processing solutionDevelop a stream processing solutionManage batches and pipelinesImplement data securityMonitor data storage and data processingOptimize and troubleshoot data storage and data processingRequirementsFoundational Knowledge of AzureDescriptionIn this course, you will learn how to implement and manage data engineering workloads on Microsoft Azure, using Azure services such as Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure Stream Analytics, Azure Databricks, and others. The course focuses on common data engineering tasks such as orchestrating data transfer and transformation pipelines, working with data files in a data lake, creating and loading relational data warehouses, capturing and aggregating streams of real-time data, and tracking data assets and lineage. You can become a data professional, a data architect, or a business intelligence professional by learning about data engineering and building analytical solutions using data platform technologies that exist on Microsoft Azure. This course will give you a flavor of end-to-end processing of big data in Azure.As a candidate for this certification, you should have subject matter expertise in integrating, transforming, and consolidating data from various structured, unstructured, and streaming data systems into a suitable schema for building analytics solutions.As an Azure data engineer, you help stakeholders understand the data through exploration, and build and maintain secure and compliant data processing pipelines by using different tools and techniques. You use various Azure data services and frameworks to store and produce cleansed and enhanced datasets for analysis.OverviewSection 1: Microsoft Azure Data Engineering IntroductionLecture 1 IntroductionSection 2: Get started with data engineering on AzureLecture 2 Introduction to data engineering on AzureLecture 3 Introduction to Azure Data Lake Storage Gen2Lecture 4 Introduction to Azure Synapse AnalyticsLecture 5 Lab - Explore Azure Synapse AnalyticsSection 3: Build data analytics solutions using Azure Synapse Analytics serverless SQL poolLecture 6 Use a serverless SQL pool to query files in a data lakeLecture 7 Use a serverless SQL pool to transform dataLecture 8 Lab - Transform files using a serverless SQL poolLecture 9 Create a lake databaseSection 4: Perform data engineering with Azure Synapse Apache Spark PoolsLecture 10 Analyze data with Apache Spark in Azure Synapse AnalyticsLecture 11 Transform data with Apache Spark in Azure Synapse AnalyticsLecture 12 Lab - Transform data using Spark in Synapse AnalyticsLecture 13 Use Delta Lake in Azure Synapse AnalyticsLecture 14 Lab - Use Delta Lake with Spark in Azure Synapse AnalyticsSection 5: Work with data warehouses using Azure Synapse AnalyticsLecture 15 Analyze data in a relational data warehouseLecture 16 Load data into a relational data warehouseLecture 17 Lab - Load Data into a Relational Data WarehouseSection 6: Transfer and transform data with Azure Synapse Analytics PipelinesLecture 18 Build a data pipeline in Azure Synapse AnalyticsLecture 19 Lab - Build a data pipeline in Azure Synapse AnalyticsLecture 20 Use Spark Notebooks in an Azure Synapse PipelineLecture 21 Lab - Use an Apache Spark notebook in a pipelineSection 7: Hybrid transactional and analytical processing Solutions using Synapse AnalyticsLecture 22 Plan hybrid transactional and analytical processingLecture 23 Implement Azure Synapse Link with Azure Cosmos DBLecture 24 Lab - Use Azure Synapse Link for Azure Cosmos DBLecture 25 Implement Azure Synapse Link for SQLSection 8: Implement a data streaming solution with Azure Stream AnalyticsLecture 26 Get started with Azure Stream AnalyticsLecture 27 Streaming data using Azure Stream Analytics and Azure Synapse AnalyticsLecture 28 Lab - Ingest data with Azure Stream Analytics and Azure Synapse AnalyticsLecture 29 Visualize real-time data with Azure Stream Analytics and Power BISection 9: Govern data across an enterpriseLecture 30 Introduction to Microsoft PurviewLecture 31 Integrate Microsoft Purview and Azure Synapse AnalyticsLecture 32 Lab - Use Microsoft Purview with Azure Synapse AnalyticsSection 10: Data engineering with Azure DatabricksLecture 33 Explore Azure DatabricksLecture 34 Use Apache Spark in Azure DatabricksLecture 35 Lab - Use Spark in Azure DatabricksLecture 36 Run Azure Databricks notebooks in Azure Data FactorySection 11: ConclusionLecture 37 Redemption of BadgesData Engineers: Professionals who focus on preparing "big data" for analytical or operational uses. These individuals are responsible for designing, building, and maintaining the architecture (such as databases and large-scale processing systems) for data ingestion, processing, and analytics.,Data Architects: These are professionals who design the blueprint for managing data across the organization. They work on designing data solutions that utilize Azure services effectively to meet both the technical and business requirements.,Data Professionals: This broad category includes anyone working with data in a technical capacity and looking to leverage Azure's data services for their data solutions. This could include database administrators, data analysts, and software developers with a focus on data.,IT Professionals: IT professionals who are not necessarily data specialists but are looking to expand their skills into the data engineering space can benefit from this course. This includes system administrators, software developers, and IT managers who need to understand how data solutions are designed and implemented on Azure.,Students and Recent Graduates: Those who are studying in fields related to computer science, data science, information technology, or similar areas and are looking to enter the workforce with a strong set of skills in cloud-based data solutions.Homepagehttps://www.udemy.com/course/dp-203-azure-data-engineer-associate-training/Download ( Rapidgator )https://rg.to/file/281712d32d826d8ff2f487d815735347/onxto.Data.Engineering.On.Microsoft.Azure.part1.rar.htmlhttps://rg.to/file/7ba4e729c36d47225c7c557df56f6a82/onxto.Data.Engineering.On.Microsoft.Azure.part2.rar.htmlhttps://rg.to/file/c7c52ef5e672571263dbf2e69354e6ac/onxto.Data.Engineering.On.Microsoft.Azure.part3.rar.htmlhttps://rg.to/file/d11a4e9e4111aae491c050a06db413a9/onxto.Data.Engineering.On.Microsoft.Azure.part4.rar.htmlUploadgighttps://uploadgig.com/file/download/1ab5572ff8Ac65cC/onxto.Data.Engineering.On.Microsoft.Azure.part4.rarhttps://uploadgig.com/file/download/240e7301e76e109c/onxto.Data.Engineering.On.Microsoft.Azure.part3.rarhttps://uploadgig.com/file/download/76eC17e6263561e0/onxto.Data.Engineering.On.Microsoft.Azure.part2.rarhttps://uploadgig.com/file/download/b360f8c7c8d62301/onxto.Data.Engineering.On.Microsoft.Azure.part1.rarDownload ( NitroFlare )https://nitroflare.com/view/09523AB6063F86D/onxto.Data.Engineering.On.Microsoft.Azure.part3.rarhttps://nitroflare.com/view/2BEB60BA5F82600/onxto.Data.Engineering.On.Microsoft.Azure.part4.rarhttps://nitroflare.com/view/3D1F3BB71AD4328/onxto.Data.Engineering.On.Microsoft.Azure.part1.rarhttps://nitroflare.com/view/50A7F62C90895C1/onxto.Data.Engineering.On.Microsoft.Azure.part2.rarNo Password - Links are Interchangeable Link to comment Share on other sites More sharing options...
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