Azure Data Engineering: Real-World Projects & Fundamentals

Unlock the Power of Azure Cloud: Dive Deep into Hands-On Projects and Master Essential Data Engineering Skills

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 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.

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