Data Mastery - Unifying Big Data And Cloud Technologies

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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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