Tutorials > Data Mastery – Unifying Big Data And Cloud Technologies
Data Mastery – Unifying Big Data And Cloud TechnologiesDate: 22 November 2023 | Posted by: voska89 |
![]() Free Download Data Mastery – Unifying Big Data And Cloud Technologies Published 11/2023 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 13.74 GB | Duration: 33h 55m A Comprehensive Guide to Scala, Spark, MongoDB, AWS, and Azure for Data Processing, Storage, and Cloud Mastery What you'll learn Scala & Spark Mastery: Complete understanding of Scala and Spark for efficient data processing. MongoDB Expertise: Proficiency in MongoDB for robust database management. AWS & Azure Proficiency: Mastery in essential cloud computing skills across AWS and Azure. Real-world Application Development: Hands-on experience building practical applications using cloud tools. Data Transformation & Integration: Ability to perform data transformations and integrate data across cloud platforms. Requirements A fundamental understanding of programming concepts will be helpful, although the course is designed to accommodate beginners. Description This course amalgamates four comprehensive modules, each dedicated to a key technology in the realm of Big Data and Cloud Computing. From Scala & Spark for data processing to MongoDB Mastery, AWS Essentials, and Azure Cloud Mastery, this merged course provides a holistic understanding and hands-on experience in these crucial domains.Module 1: Scala & Spark for Big DataSection 1: Scala FundamentalsIntroduction to ScalaVariables, Flow Statements, FunctionsClasses, Data StructuresScala Spark Project OverviewSection 2: Spark EssentialsHadoop & Spark OverviewSetting up Spark & DatabricksSpark RDDs, DFsETL Pipeline with SparkModule 2: Mastering MongoDBSection 1: MongoDB BasicsMongoDB FundamentalsCRUD OperationsQuery & Projection OperatorsUpdate OperatorsSection 2: Integrations & ProjectsMongoDB with Node.js & PythonBuilding a Django App with MongoDBETL Using Spark with MongoDBModule 3: AWS Cloud EssentialsSection 1: Introduction to AWSAWS Account Setup & Services OverviewCompute and Storage ServicesInfrastructure as Code & AutomationSection 2: Networking & Database ServicesNetworking EssentialsRDS, Redshift, DynamoDBAdvanced Topics & Integration ServicesSection 3: Hands-on ExerciseReal-world Deployment Project with AWS ServicesModule 4: Azure Cloud MasterySection 1: Azure Cloud BasicsIntroduction to Azure CloudAzure Account Setup & PricingAzure Service OverviewSection 2: Azure Service MasteryAzure Databricks & Apache SparkAzure Blob StorageAzure Data FactorySection 3: Security & Key VaultsAzure Key Vaults ImplementationSecure Key Management PracticesConclusion:This merged course offers a comprehensive understanding of Scala & Spark for data processing, MongoDB for database management, AWS for cloud computing, and Azure for cloud data services. By the end, learners gain practical experience and proficiency in utilizing these technologies in real-world scenarios.This course caters to a broad spectrum of learners, ranging from beginners with minimal exposure to these technologies to professionals seeking to enhance their expertise and proficiency in Big Data and cloud computing. Overview Section 1: Scala & Spark-Master Big Data with Scala and Spark Lecture 1 Link for the Course's Materials and Codes Lecture 2 Introduction: Why Scala Lecture 3 Introduction: Scala Applications Lecture 4 Introduction: About the Instructor Lecture 5 Introduction: Introduction to Course Lecture 6 Introduction: Projects Overview Lecture 7 Overview: What is Scala Lecture 8 Overview: Scala Setup (Local Machine) Lecture 9 Overview: Scala Setup (Online) Lecture 10 Overview: Variables in Scala Lecture 11 Overview: Arithamatic Operations on Variables-1 Lecture 12 Overview: Arithamatic Operations on Variables-2 Lecture 13 Overview: Quiz (Arithmatic Operations) Lecture 14 Overview: Solution (Arithmatic Operations) Lecture 15 Overview: Quiz (Strings) Lecture 16 Overview: Solution (Strings) Lecture 17 Overview: Type Casting Lecture 18 Overview: Taking input from User Lecture 19 Overview: Quiz (User Input and Type Casting) Lecture 20 Overview: Solution (User Input and Type Casting) Lecture 21 Flow Control: Overview of Control Statements Lecture 22 Flow Control: If else statements Lecture 23 Flow Control: Conditions in If Lecture 24 Flow Control: Quiz (if statement) Lecture 25 Flow Control: Solution (if statement) Lecture 26 Flow Control: Nested if else Lecture 27 Flow Control: Quiz (nested if else) Lecture 28 Flow Control: Solution (nested if else) Lecture 29 Flow Control: Logical operators Lecture 30 Flow Control: Quiz (Logical operators) Lecture 31 Flow Control: Solution (Logical operators) Lecture 32 Flow Control: If else if Lecture 33 Flow Control: Quiz (if else if) Lecture 34 Flow Control: Solution(if else if) Lecture 35 Flow Control: Overview of Loops Lecture 36 Flow Control: Overview of While Loop Lecture 37 Flow Control: While Loop Lecture 38 Flow Control: Quiz (while loop) Lecture 39 Flow Control: Solution 1 (while loop) Lecture 40 Flow Control: Solution 2 (while loop) Lecture 41 Flow Control: Do While Loop Lecture 42 Flow Control: For Loop Lecture 43 Flow Control: Quiz (For Loop) Lecture 44 Flow Control: Solution (For Loop) Lecture 45 Flow Control: Quiz(For Loop) Lecture 46 Flow Control: Solution(For Loop) Lecture 47 Flow Control: Break Lecture 48 Flow Control: Break Fix Lecture 49 Flow Control: Project Overview Lecture 50 Flow Control: Project Solution Design Lecture 51 Flow Control: Project Solution Code 1 Lecture 52 Flow Control: Project Solution Code 2 Lecture 53 Flow Control: Project Solution Code 3 Lecture 54 Flow Control: Project Solution Code 4 Lecture 55 Functions: Overview of Functions Lecture 56 Functions: Writing addition function Lecture 57 Functions: Quiz (Basic Function) Lecture 58 Functions: Solution (Basic Function) Lecture 59 Functions: Functions common issues Lecture 60 Functions: Named Arguments Lecture 61 Functions: Quiz (String Concatination Function) Lecture 62 Functions: Solution (String Concatination Function) Lecture 63 Functions: Quiz (Dividing Code in Functions) Lecture 64 Functions: Solution (Dividing Code in Functions) Lecture 65 Functions: Default Arguments Lecture 66 Functions: Quiz(Default Arguments) Lecture 67 Functions: Solution(Default Arguments) Lecture 68 Functions: Anonymous Functions Lecture 69 Functions: Quiz(Anonymous Functions) Lecture 70 Functions: Solution(Anonymous Functions) Lecture 71 Functions: Scopes Lecture 72 Functions: Project Overview Lecture 73 Functions: Checking Credentials Lecture 74 Functions: Prompting the menu Lecture 75 Functions: Baisc Functions Lecture 76 Functions: Breaking code in more functions Lecture 77 Functions: Final Run Lecture 78 Classes: Introduction to Classes Lecture 79 Classes: Creating Class Lecture 80 Classes: Class Constructor Lecture 81 Classes: Functions and Classes Lecture 82 Classes: Project Overview Lecture 83 Classes: Basic Strucuture Lecture 84 Classes: Final Run Lecture 85 Data Structures: Introduction of Data Structures Lecture 86 Data Structures: Lists introduction Lecture 87 Data Structures: Lists Create and Delete Elements Lecture 88 Data Structures: Lists Take Lecture 89 Data Structures: ListBuffer Introduction Lecture 90 Data Structures: Add data in ListBuffer Lecture 91 Data Structures: Remove data from ListBuffer Lecture 92 Data Structures: Take data from ListBuffer Lecture 93 Data Structures: Project Overview Lecture 94 Data Structures: Project Architecture Discussion Lecture 95 Data Structures: Project Architecture Implementation Lecture 96 Data Structures: User Input for Objects Lecture 97 Data Structures: Implementing the control flow Lecture 98 Data Structures: Creating Required Functions inside Class Lecture 99 Data Structures: Overview of Maps Lecture 100 Data Structures: Creating Maps Lecture 101 Data Structures: Check Key in Map Lecture 102 Data Structures: Update Value in Map Lecture 103 Data Structures: Add and Remove items from Maps Lecture 104 Data Structures: Iterating on Maps Lecture 105 Data Structures: Project Overview Lecture 106 Data Structures: Project Architecture Lecture 107 Data Structures: Project Structure Code Lecture 108 Data Structures: Using Maps for word count Lecture 109 Data Structures: Final Run Lecture 110 Data Structures: Sets Overview Lecture 111 Data Structures: Add and Remove Item from the Set Lecture 112 Data Structures: Set Operations Lecture 113 Data Structures: Overview of Stack Lecture 114 Data Structures: Push and Pop in Stack Lecture 115 Data Structures: Stack Attributes Lecture 116 Data Structures: Project Overview Lecture 117 Data Structures: Project Architecture Lecture 118 Data Structures: Extra Closing Bracket Use Case Lecture 119 Data Structures: Extra Starting Bracket Use Case Lecture 120 Project: Project Introduction Lecture 121 Project: Why Spark Lecture 122 Project: Hadoop EcoSystem Lecture 123 Project: Spark Architecture Lecture 124 Project: Spark EcoSystem Lecture 125 Project: DataBricks Account Lecture 126 Project: Setting up DataBricks Cluster Lecture 127 Project: Spark Local Setup Lecture 128 Project: Spark Hadoop Setup Lecture 129 Project: Spark RDDs Lecture 130 Project: Spark RDDs (textFile, collect) Lecture 131 Project: Spark Local Run Lecture 132 Project: Understanding Map Lecture 133 Project: Understanding Flat Map Lecture 134 Project: Understanding Reduce By Key Lecture 135 Project: Word Count Example Lecture 136 Project: Spark DFs Lecture 137 Project: Spark DF Read Data Lecture 138 Project: Spark Print Schema, Select Lecture 139 Project: Spark GroupBy Lecture 140 Project: Spark DF Write Lecture 141 Project: Creating S3 bucket Lecture 142 Project: Creating Database in RDS Lecture 143 Project: Performing ETL Section 2: MongoDB Mastery: Your Essential Guide to Dominating Database Lecture 144 Link for the Course's Materials and Codes Lecture 145 Introduction: Why MongoDB Lecture 146 Introduction: Applications of MongoDB Lecture 147 Introduction: Instructor Introduction Lecture 148 Introduction: What_s inside Lecture 149 Introduction: Methodology Lecture 150 Introduction: Project Lecture 151 Overview: SQL Schema Lecture 152 Overview: NoSQL Schema Lecture 153 Overview: Installing MongoDB Lecture 154 Overview: Setting Enviroment Variable Lecture 155 Overview: Analogies Lecture 156 Basic Mongo Operations: Basic Database commands Lecture 157 Basic Mongo Operations: Basic Database commands Lecture 158 Basic Mongo Operations: Basic Collection Commands Lecture 159 Basic Create Operation: Introduction to module Lecture 160 Basic Create Operation: Create Document (Single) Lecture 161 Basic Create Operation: Create Documents (Many) Lecture 162 Basic Create Operation: Quiz (Create Documents) Lecture 163 Basic Create Operation: Solution (Create Docuements) Lecture 164 Basic Create Operation: Quiz (Create Document) Lecture 165 Basic Create Operation: Solution (Create Document) Lecture 166 Basic Create Operation: Outro Lecture 167 Basic Update Operation: Introduction Lecture 168 Basic Update Operation: Update Documents (Sinlge Filter) Lecture 169 Basic Update Operation: Update Documents Lecture 170 Basic Update Operation: Quiz (Update Operation) Lecture 171 Basic Update Operation: Solution (Update Operation) Lecture 172 Basic Update Operation: Quiz (Update Operation) Lecture 173 Basic Update Operation: Solution (Update Operation) Lecture 174 Basic Update Operation: Solution (Update Operation) Lecture 175 Basic Update Operation: Outro Lecture 176 Basic Read Operation: Introduction Lecture 177 Basic Read Operation: Read Documents Lecture 178 Basic Read Operation: Quiz (Read Documents) Lecture 179 Basic Read Operation: Solution (Read Documents) Lecture 180 Basic Read Operation: Quiz (Read Documents) Lecture 181 Basic Read Operation: Solution (Read Documents) Lecture 182 Basic Read Operation: Outro Lecture 183 Basic Delete Operation: Introduction Lecture 184 Basic Delete Operation: Delete Document Lecture 185 Basic Delete Operation: Quiz (Delete Operation) Lecture 186 Basic Delete Operation: Solution (Delete Operation) Lecture 187 Basic Delete Operation: Quiz (Delete Operation) Lecture 188 Basic Delete Operation: Solution (Delete Operation) Lecture 189 Basic Delete Operation: Outro Lecture 190 Query and projection operators: Module Introduction Lecture 191 Query and projection operators: $eq Operator Lecture 192 Query and projection operators: $gt Operator Lecture 193 Query and projection operators: $lt Operator Lecture 194 Query and projection operators: $in Operator Lecture 195 Query and projection operators: $ne Operator Lecture 196 Query and projection operators: $nin Operator Lecture 197 Query and projection operators: $and Operator Lecture 198 Query and projection operators: $or Operator Lecture 199 Query and projection operators:$not Operator Lecture 200 Query and projection operators: $exists Operator Lecture 201 Query and projection operators: $types Operator Lecture 202 Query and projection operators: $expr Operator Lecture 203 Query and projection operators: $mod Operator Lecture 204 Query and projection operators: $text Operator Lecture 205 Query and projection operators: $all Operator Lecture 206 Query and projection operators: $elemMatch Operator Lecture 207 Query and projection operators: $size Operator Lecture 208 Query and projection operators: $ Operator Lecture 209 Query and projection operators: $slice Operator Lecture 210 Query and projection operators: Quiz ($eq) Lecture 211 Query and projection operators: Solution ($eq) Lecture 212 Query and projection operators: Quiz ($gt) Lecture 213 Query and projection operators: Solution ($gt) Lecture 214 Query and projection operators: Quiz ($gte) Lecture 215 Query and projection operators: Solution ($gte) Lecture 216 Query and projection operators: Quiz ($in) Lecture 217 Query and projection operators: Solution ($in) Lecture 218 Query and projection operators: Quiz ($lt) Lecture 219 Query and projection operators: Solution ($lt) Lecture 220 Query and projection operators: Quiz ($lte) Lecture 221 Query and projection operators: Solution ($lte) Lecture 222 Query and projection operators: Solution ($lte) Lecture 223 Query and projection operators: Quiz ($ne) Lecture 224 Query and projection operators: Solution ($ne) Lecture 225 Query and projection operators: Quiz ($nin) Lecture 226 Query and projection operators: Solution ($nin) Lecture 227 Query and projection operators: Solution ($nin) Lecture 228 Query and projection operators: Solution ($nin) Lecture 229 Query and projection operators: Quiz ($and) Lecture 230 Query and projection operators: Solution ($and) Lecture 231 Query and projection operators: Quiz ($or) Lecture 232 Query and projection operators: Solution ($or) Lecture 233 Query and projection operators: Solution ($or) Lecture 234 Query and projection operators: Quiz ($not) Lecture 235 Query and projection operators: Solution ($not) Lecture 236 Query and projection operators: Solution ($not) Lecture 237 Query and projection operators: Solution ($not) Lecture 238 Query and projection operators: Quiz ($exists) Lecture 239 Query and projection operators: Solution ($exists) Lecture 240 Query and projection operators: Quiz($expr) Lecture 241 Query and projection operators: Solution($expr) Lecture 242 Query and projection operators: Quiz($mod) Lecture 243 Query and projection operators: Solution($mod) Lecture 244 Query and projection operators: Quiz($text) Lecture 245 Query and projection operators: Solution($text) Lecture 246 Query and projection operators: Quiz($all) Lecture 247 Query and projection operators: Solution($all) Lecture 248 Query and projection operators: Solution($all) Lecture 249 Query and projection operators: Quiz($elemMatch) Lecture 250 Query and projection operators: Solution($elemMatch) Lecture 251 Query and projection operators: Solution($elemMatch) Lecture 252 Query and projection operators: Quiz($size) Lecture 253 Query and projection operators: Solution($size) Lecture 254 Update Operators: $currentDate operator Lecture 255 Update Operators: $currentDate operator Lecture 256 Update Operators: $inc operator Lecture 257 Update Operators: $inc operator Lecture 258 Update Operators: $min operator Lecture 259 Update Operators: $max operator Lecture 260 Update Operators: $mul operator Lecture 261 Update Operators: $rename operator Lecture 262 Update Operators: $set operator Lecture 263 Update Operators: $set operator Lecture 264 Update Operators: $unset operator Lecture 265 Update Operators: $addToSet operator Lecture 266 Update Operators: $pop operator Lecture 267 Update Operators: $pull operator Lecture 268 Update Operators: $push operator Lecture 269 Update Operators: $each operator Lecture 270 Update Operators: $position operator Lecture 271 Update Operators: $sort operator Lecture 272 Update Operators: Quiz (Update Operators) Lecture 273 Update Operators: Solution (Update Operators) Lecture 274 Update Operators: Solution (Update Operators) Lecture 275 Update Operators: Solution (Update Operators) Lecture 276 Update Operators: Solution (Update Operators) Lecture 277 Update Operators: Quiz (Update Operators) Lecture 278 Update Operators: Solution (Update Operators) Lecture 279 Update Operators: Solution (Update Operators) Lecture 280 Update Operators: Solution (Update Operators) Lecture 281 Mongo with Node: Installing Node on local machine Lecture 282 Mongo with Node: Installing VS code Lecture 283 Mongo with Node: Mongo atlas Lecture 284 Mongo with Node: Create Cluster on Mongo atlas Lecture 285 Mongo with Node: Creating User in Atlas Lecture 286 Mongo with Node: Network Access Lecture 287 Mongo with Node: Database and Collections Lecture 288 Mongo with Node: Connect Node with Mongo Lecture 289 Mongo with Node: Get databases Lecture 290 Mongo with Node: Insert in Mongo using Node Lecture 291 Mongo with Node: Read from Mongo using Node Lecture 292 Mongo with Node: Update in Mongo using Node Lecture 293 Mongo with Node: Delete from Mongo using Node Lecture 294 Mongo with Python: PyCharm Lecture 295 Mongo with Python: Creating Connection Lecture 296 Mongo with Python: Insert in Mongo using Python Lecture 297 Mongo with Python: Read from Mongo using Python Lecture 298 Mongo with Python: Update in Mongo using Python Lecture 299 Mongo with Python:Delete in Mongo using Python Lecture 300 Django with Mongo: Django Installation Lecture 301 Django with Mongo: Creating App Lecture 302 Django with Mongo: Setting up Django with Mongo Lecture 303 Django with Mongo: Django Migrations Lecture 304 Django with Mongo: Django Urls and Views Lecture 305 Django with Mongo: Django with Postman Lecture 306 Django with Mongo: Django get Data from Postman Lecture 307 Django with Mongo: Insert in Mongo using Django Lecture 308 Django with Mongo: Read from Mongo using Django Lecture 309 Django with Mongo: Update in Mongo using Django Lecture 310 Django with Mongo: Detele in Mongo using Django Lecture 311 Spark With Mongo: Databricks for Spark Lecture 312 Spark With Mongo: Installing Libraries Lecture 313 Spark With Mongo: Data Overview Lecture 314 Spark With Mongo: ETL Section 3: AWS Essentials: Master Cloud Computing from Scratch - AWS Lecture 315 Link for the Course's Materials and Codes Lecture 316 Introduction: Introduction to Course Lecture 317 Introduction: What is AWS Lecture 318 Introduction to AWS: Creating AWS Account Lecture 319 Introduction to AWS: Exploring AWS Management Console Lecture 320 Introduction to AWS: Overview of AWS Services Lecture 321 Introduction to AWS: AWS Services Lecture 322 Introduction to AWS: IAM Policy Overview Lecture 323 Introduction to AWS: IAM Demo Lecture 324 Compute and Storage Services: Simple Storage Service Lecture 325 Compute and Storage Services: S3 Versioning Lecture 326 Compute and Storage Services: S3 Lifecyle Lecture 327 Compute and Storage Services: S3 Event Triggers Lecture 328 Compute and Storage Services: Introduction to AWS Lambda Lecture 329 Compute and Storage Services: Parsing Event in Lambda Lecture 330 Compute and Storage Services: Lambda Layer Introduction Lecture 331 Compute and Storage Services: Creating Lambda Layer Lecture 332 Compute and Storage Services: How to add Layer Lecture 333 Compute and Storage Services: AWS Glue Lecture 334 Compute and Storage Services: AWS Glue Job Lecture 335 Compute and Storage Services: Glue Crawler Lecture 336 Infrastructure as Code and Automation: Introduction to Cloudformation Lecture 337 Infrastructure as Code and Automation: Creating S3 Bucket using Cloudformation Lecture 338 Infrastructure as Code and Automation: AWS CLI Lecture 339 Network and database: Introduction to Virtual Private Cloud Lecture 340 Network and database: Creating Virtual Private Cloud using Console Lecture 341 Network and database: AWS Relational Database Service Lecture 342 Network and database: Creating RDS Database using Console Lecture 343 Network and database: Accessing RDS Instance using Glue Lecture 344 Network and database: Introduction to AWS Redshift Lecture 345 Network and database: Creating Redshift Cluster in Console Lecture 346 Network and database: Dynamodb Lecture 347 Network and database: Creating and Accessing Dynamodb Table Lecture 348 Additional Services: Introduction to AWS Security and Simple Queue Service Lecture 349 Additional Services: Accessing Secret Manager and Key Management Service using Console Lecture 350 Additional Services: Creating a Queue in Simple Queue Service Lecture 351 Additional Services: Introduction to Simple Notification Service Lecture 352 Additional Services: Creating and Sending Email using Simple Notification Service Lecture 353 Hands On Exercise: Problem Statement Lecture 354 Hands On Exercise: Proposed Solution Lecture 355 Hands On Exercise: Exploring the Lambda Function Lecture 356 Hands On Exercise: Testing the Pipeline Lecture 357 Hands On Exercise: Analyze the Data using Athena Section 4: Azure Cloud Mastery: Elevate Your Azure Cloud Data Skills Lecture 358 Link for the Course's Materials and Codes Lecture 359 Introduction: Introduction to Azure Lecture 360 Introduction: Importance of Cloud Computing Lecture 361 Introduction: Basics of Azure Services Lecture 362 Introduction: Create Azure Account Lecture 363 Introduction: Create Resource Group Lecture 364 Introduction: Course Content Lecture 365 Mastering Azure Databricks: Introduction to Module Lecture 366 Mastering Azure Databricks: What is Databricks Lecture 367 Mastering Azure Databricks: Create Databricks Service Lecture 368 Mastering Azure Databricks: What is Cluster Lecture 369 Mastering Azure Databricks: Create Cluster Lecture 370 Mastering Azure Databricks: Databricks Storage System Lecture 371 Mastering Azure Databricks: WorkSpace Features Lecture 372 Mastering Azure Databricks: Read from DBFS Lecture 373 Mastering Azure Databricks: Read from Hive_Metastore Lecture 374 Mastering Azure Databricks: Data Writing Into DB Storage Lecture 375 Mastering Azure Databricks: Advance Data Processing Lecture 376 Mastering Azure Storage Accounts: Introduction to Module Lecture 377 Mastering Azure Storage Accounts: What is Azure Storage Lecture 378 Mastering Azure Storage Accounts: Popular Cloud Storage Lecture 379 Mastering Azure Storage Accounts: Storage Account Performance Lecture 380 Mastering Azure Storage Accounts: Storage Redundancy Lecture 381 Mastering Azure Storage Accounts: Primary Region Redundancy Lecture 382 Mastering Azure Storage Accounts: Secondary Region Redundancy Lecture 383 Mastering Azure Storage Accounts: Azure Blob Storage Lecture 384 Mastering Azure Storage Accounts: Blob Access Tier Lecture 385 Mastering Azure Storage Accounts: Azure File Storage Lecture 386 Mastering Azure Storage Accounts: Azure Queue Storage Lecture 387 Mastering Azure Storage Accounts: Azure Table Storage Lecture 388 Mastering Azure Storage Accounts: Create Azure Service 2 Lecture 389 Mastering Azure Data Factory: Introduction to Module Lecture 390 Mastering Azure Data Factory: What is ADF Lecture 391 Mastering Azure Data Factory: ADF an ETL Tool Lecture 392 Mastering Azure Data Factory: Creat ADF service Lecture 393 Mastering Azure Data Factory: Integration Runtime Lecture 394 Mastering Azure Data Factory: Create Integrtion Runtime Lecture 395 Mastering Azure Data Factory: Linked Service Lecture 396 Mastering Azure Data Factory: Datasets Lecture 397 Mastering Azure Data Factory: Activities Lecture 398 Mastering Azure Data Factory: Pipelines Lecture 399 Mastering Azure Data Factory: Create Pipeline Lecture 400 Mastering Azure Data Factory: Trigger Lecture 401 Mastering Azure Data Factory: Schedule Trigger Lecture 402 Mastering Azure Data Factory: Tumbling Window Trigger Lecture 403 Mastering Azure Data Factory: Event Based Trigger Lecture 404 Mastering Azure Data Factory: Create Trigger Lecture 405 Mastering Azure Data Factory: Data Flows Lecture 406 Mastering Azure Key Vault: Introduction to Module Lecture 407 Mastering Azure Key Vault: What is Key Vault Lecture 408 Mastering Azure Key Vault: Key Features Lecture 409 Mastering Azure Key Vault: Create Key Vault Service Lecture 410 Mastering Azure Key Vault: Create Secrets Lecture 411 Mastering Azure Key Vault: Create Linked Service Aspiring Data Professionals: Those aiming to enter the field of data analytics, data engineering, or data science.,Developers Seeking Data Skills: Developers looking to augment their skill set with proficiency in Big Data tools and cloud technologies.,Professionals Transitioning to Cloud: Individuals from diverse professional backgrounds interested in transitioning or upskilling in cloud computing.,Data Enthusiasts and Learners: Anyone passionate about learning Big Data tools, cloud computing, and database management for personal or professional development.,Tech Professionals Exploring New Horizons: Professionals curious about exploring new technologies, especially in the realms of data processing, storage, and cloud solutions. 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