Azure Data Engineering Real-World Projects & Fundamentals

What you'll learn
Comprehensive understanding of Azure Cloud fundamentals
Hands-on experience with key Azure services
Practical 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 Basics
Hands-on Experience in deploying and using multiple AWS services
Learn integration of different source for dynamic fetching of data
Exposure with transformation and building insights of source data using cloud
Requirements
No prior experience with Azure is required, but a basic understanding of cloud computing concepts will be helpful.
Description
Course 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 Projectslay 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.
Overview
Section 1: Azure Cloud Mastery: Elevate Your Azure Cloud Data Skills
Lecture 1 Introduction to Azure
Lecture 2 Importance of Cloud Computing
Lecture 3 Basics of Azure Services
Lecture 4 Create Azure Account
Lecture 5 Create Resource Group
Lecture 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 Codes
Section 2: Mastering Azure Databricks
Lecture 9 Links for the Course's Materials and Codes
Lecture 10 Introduction to Module
Lecture 11 What is Databricks
Lecture 12 Create Databricks Service
Lecture 13 What is Cluster
Lecture 14 Create Cluster
Lecture 15 Databricks Storage System
Lecture 16 WorkSpace Features
Lecture 17 Read from DBFS
Lecture 18 Read from Hive_Metastore
Lecture 19 Data Writing Into DB Storage
Lecture 20 Advance Data Processing
Section 3: Mastering Azure Storage Accounts
Lecture 21 Links for the Course's Materials and Codes
Lecture 22 Introduction to Module
Lecture 23 What is Azure Storage
Lecture 24 Popular Cloud Storage
Lecture 25 Storage Account Performance
Lecture 26 Storage Redundancy
Lecture 27 Primary Region Redundancy
Lecture 28 Secondary Region Redundancy
Lecture 29 Azure Blob Storage
Lecture 30 Blob Access Tier
Lecture 31 Azure File Storage
Lecture 32 Azure Queue Storage
Lecture 33 Azure Table Storage
Lecture 34 Create Azure Service 2
Section 4: Mastering Azure Data Factory
Lecture 35 Links for the Course's Materials and Codes
Lecture 36 Introduction to Module
Lecture 37 What is ADF
Lecture 38 ADF an ETL Tool
Lecture 39 Creat ADF service
Lecture 40 Integration Runtime
Lecture 41 Create Integrtion Runtime
Lecture 42 Linked Service
Lecture 43 Datasets
Lecture 44 Activities
Lecture 45 Pipelines
Lecture 46 Create Pipeline
Lecture 47 Trigger
Lecture 48 Schedule Trigger
Lecture 49 Tumbling Window Trigger
Lecture 50 Event Based Trigger
Lecture 51 Create Trigger
Lecture 52 Data Flows
Section 5: Mastering Azure Key Vault
Lecture 53 Links for the Course's Materials and Codes
Lecture 54 Introduction to Module
Lecture 55 What is Key Vault
Lecture 56 Key Features
Lecture 57 Create Key Vault Service
Lecture 58 Create Secrets
Lecture 59 Create Linked Service
Section 6: Azure Data Engineering Mastery: Real-World Projects
Lecture 60 Links for the Course's Materials and Codes
Lecture 61 Introduction to Azure Projects.mp4
Section 7: Project 1 PlayStore Dataset
Lecture 62 Links for the Course's Materials and Codes
Lecture 63 Play Store Dataset Analysis
Lecture 64 Linked Services
Lecture 65 Copy Data Activity
Lecture 66 Create Compute
Lecture 67 Create Secret Scope
Lecture 68 Mounting Container
Lecture 69 Multiple Ways of Reading Data
Lecture 70 Data PreProcessing
Lecture 71 Install Rating Analysis
Lecture 72 Free Paid Price Analysis
Section 8: Project 2 Olympics Dataset
Lecture 73 Links for the Course's Materials and Codes
Lecture 74 Olympics Dataset Analysis
Lecture 75 Fetch Data from kaggle
Lecture 76 Write to Blob
Lecture 77 Data PreProcessing
Lecture 78 Gender Level Analysis
Lecture 79 National Level Analysis
Lecture 80 Sports Level Analysis
Section 9: Project 3 Stack Overflow Dataset
Lecture 81 Links for the Course's Materials and Codes
Lecture 82 Stack Overflow Dataset Analysis
Lecture 83 Copy Zip Data
Lecture 84 Unzip Data
Lecture 85 PreProcessing
Lecture 86 Education Level Analysis
Lecture 87 Learn How to Code Analysis
Section 10: Project 4 Uber Taxi Dataset
Lecture 88 Links for the Course's Materials and Codes
Lecture 89 Uber Taxi Dataset Analysis
Lecture 90 Introduction to Project
Lecture 91 Copy Activity
Lecture 92 ForEach Activity
Lecture 93 PreProcessing
Lecture 94 Taxi Demand Analysis
Lecture 95 Payment Analysis
Data 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 Enthusiast
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