Data Mastery: Unifying Big Data And Cloud Technologies

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.