riversongs Posted March 15, 2024 Report Share Posted March 15, 2024 Free Download Azure Data Engineering Real-World Projects & FundamentalsPublished 2/2024MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHzLanguage: English | Size: 6.60 GB | Duration: 11h 31mUnlock the Power of Azure Cloud: Dive Deep into Hands-On Projects and Master Essential Data Engineering SkillsWhat you'll learnComprehensive understanding of Azure Cloud fundamentalsHands-on experience with key Azure servicesPractical skills in data exploration, transformation, blob storage.Practical skills in data integration, pipelines orchestration and secure key management using Azure Cloud services.A Solid Grasp of Azure BasicsHands-on Experience in deploying and using multiple AWS servicesLearn integration of different source for dynamic fetching of dataExposure with transformation and building insights of source data using cloudRequirementsNo prior experience with Azure is required, but a basic understanding of cloud computing concepts will be helpful.DescriptionCourse Description:Welcome to the Azure Data Engineering Masterclass, your ultimate guide to mastering Azure Cloud fundamentals and gaining practical experience through immersive projects. Whether you're a novice eager to grasp Azure essentials or an experienced professional aiming to enhance your data engineering skills, this comprehensive course is designed to empower you.What You'll Learn:Module 1: Introduction to Azure CloudDiscover the transformative power of cloud computing for modern data processing.Gain a solid understanding of essential cloud computing concepts, including IaaS, PaaS, and SaaS.Learn how to set up and manage your Azure account efficiently for optimal resource utilization.Module 2: Mastering Azure DatabricksUnlock the full potential of Azure Databricks, a dynamic tool for data analytics.Dive deep into Apache Spark and its role within Databricks for seamless data exploration and transformation.Explore collaborative features and best practices for efficient data processing.Module 3: Mastering Azure Blob StorageBecome an Azure Blob Storage expert and harness its capabilities for secure and scalable data storage.Learn to manage data seamlessly with Blob Storage, including uploading, downloading, and versioning.Explore different storage options and their respective use cases for optimized data management.Module 4: Mastering Azure Data FactoryEmbark on a comprehensive journey into Azure Data Factory, a cornerstone of modern data integration.Master the art of building robust data pipelines with activities like copy data and data flow.Explore integration with other Azure services to create seamless data workflows for enhanced productivity.Module 5: Mastering Azure Key VaultsDive deep into Azure Key Vaults and their crucial role in safeguarding sensitive information.Learn to implement and configure Azure Key Vaults with confidence, ensuring robust security measures.Explore best practices for secure key management across diverse development scenarios.Hands-On Projects:Play Store Dataset AnalysisDescription:Integrate Azure services using Key Vault for encrypted security.Build a copy activity pipeline with Azure Data Factory (ADF) to dynamically fetch compressed tar.gz files from GitHub and upload them to a storage account container.Preprocess the data in Azure Databricks to ensure accuracy and reliability.Analyze Play Store data to derive insights such as app installs, ratings, distribution of free vs. paid apps, and more.Olympics Dataset AnalysisDescription:Utilize API requests to fetch datasets from Kaggle and store them in Azure storage accounts.Perform data preprocessing and exploration in Azure Databricks to uncover insights on Olympic events.Analyze gender, national, and sports-level participation trends to understand historical performance and popularity shifts.Stack Overflow Dataset AnalysisDescription:Build dynamic data factory pipelines to fetch Stack Overflow developer survey data and preprocess it for analysis.Extract insights on developers' education levels, preferred sources of learning, and demographic trends.Utilize Azure services to handle diverse data formats and generate actionable insights for understanding developer backgrounds.Uber Taxi Dataset AnalysisDescription:Create robust data factory pipelines to retrieve Uber taxi data from NYC TLC site and preprocess it for analysis.Analyze taxi demand patterns, payment types distribution, and correlations between payment methods and trip distances.Utilize Azure Data Factory's capabilities to handle dynamic file paths and generate valuable insights for optimizing transportation services.Key Features:Seamless integration of Azure services for secure and efficient data handling.Practical, hands-on projects covering diverse datasets and analytical scenarios.Expert guidance and best practices for building robust data pipelines and deriving actionable insights.Join us in the Azure Data Engineering Masterclass and take your Azure data skills to the next level. Whether you're a data enthusiast, aspiring data engineer, or seasoned professional, this masterclass is your gateway to mastering Azure Cloud fundamentals and real-world data engineering projects.OverviewSection 1: Azure Cloud Mastery: Elevate Your Azure Cloud Data SkillsLecture 1 Introduction to AzureLecture 2 Importance of Cloud ComputingLecture 3 Basics of Azure ServicesLecture 4 Create Azure AccountLecture 5 Create Resource GroupLecture 6 Course Content (Module 1 to Module 5)Lecture 7 Course Content (Module 6 to Module 11)Lecture 8 Links for the Course's Materials and CodesSection 2: Mastering Azure DatabricksLecture 9 Links for the Course's Materials and CodesLecture 10 Introduction to ModuleLecture 11 What is DatabricksLecture 12 Create Databricks ServiceLecture 13 What is ClusterLecture 14 Create ClusterLecture 15 Databricks Storage SystemLecture 16 WorkSpace FeaturesLecture 17 Read from DBFSLecture 18 Read from Hive_MetastoreLecture 19 Data Writing Into DB StorageLecture 20 Advance Data ProcessingSection 3: Mastering Azure Storage AccountsLecture 21 Links for the Course's Materials and CodesLecture 22 Introduction to ModuleLecture 23 What is Azure StorageLecture 24 Popular Cloud StorageLecture 25 Storage Account PerformanceLecture 26 Storage RedundancyLecture 27 Primary Region RedundancyLecture 28 Secondary Region RedundancyLecture 29 Azure Blob StorageLecture 30 Blob Access TierLecture 31 Azure File StorageLecture 32 Azure Queue StorageLecture 33 Azure Table StorageLecture 34 Create Azure Service 2Section 4: Mastering Azure Data FactoryLecture 35 Links for the Course's Materials and CodesLecture 36 Introduction to ModuleLecture 37 What is ADFLecture 38 ADF an ETL ToolLecture 39 Creat ADF serviceLecture 40 Integration RuntimeLecture 41 Create Integrtion RuntimeLecture 42 Linked ServiceLecture 43 DatasetsLecture 44 ActivitiesLecture 45 PipelinesLecture 46 Create PipelineLecture 47 TriggerLecture 48 Schedule TriggerLecture 49 Tumbling Window TriggerLecture 50 Event Based TriggerLecture 51 Create TriggerLecture 52 Data FlowsSection 5: Mastering Azure Key VaultLecture 53 Links for the Course's Materials and CodesLecture 54 Introduction to ModuleLecture 55 What is Key VaultLecture 56 Key FeaturesLecture 57 Create Key Vault ServiceLecture 58 Create SecretsLecture 59 Create Linked ServiceSection 6: Azure Data Engineering Mastery: Real-World ProjectsLecture 60 Links for the Course's Materials and CodesLecture 61 Introduction to Azure Projects.mp4Section 7: Project 1 PlayStore DatasetLecture 62 Links for the Course's Materials and CodesLecture 63 Play Store Dataset AnalysisLecture 64 Linked ServicesLecture 65 Copy Data ActivityLecture 66 Create ComputeLecture 67 Create Secret ScopeLecture 68 Mounting ContainerLecture 69 Multiple Ways of Reading DataLecture 70 Data PreProcessingLecture 71 Install Rating AnalysisLecture 72 Free Paid Price AnalysisSection 8: Project 2 Olympics DatasetLecture 73 Links for the Course's Materials and CodesLecture 74 Olympics Dataset AnalysisLecture 75 Fetch Data from kaggleLecture 76 Write to BlobLecture 77 Data PreProcessingLecture 78 Gender Level AnalysisLecture 79 National Level AnalysisLecture 80 Sports Level AnalysisSection 9: Project 3 Stack Overflow DatasetLecture 81 Links for the Course's Materials and CodesLecture 82 Stack Overflow Dataset AnalysisLecture 83 Copy Zip DataLecture 84 Unzip DataLecture 85 PreProcessingLecture 86 Education Level AnalysisLecture 87 Learn How to Code AnalysisSection 10: Project 4 Uber Taxi DatasetLecture 88 Links for the Course's Materials and CodesLecture 89 Uber Taxi Dataset AnalysisLecture 90 Introduction to ProjectLecture 91 Copy ActivityLecture 92 ForEach ActivityLecture 93 PreProcessingLecture 94 Taxi Demand AnalysisLecture 95 Payment AnalysisData Analysts,Data Engineers,Developers Interested in Cloud,IT Professionals exploring Azure Cloud,Aspiring Data Engineers,Developers Interested in Cloud,Business Concerns who want to start using Cloud,Data Analytics 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