Data Mastery: Unifying Big Data and Cloud Technologies

Data Mastery: Unifying Big Data and Cloud Technologies, available at $19.99, with 411 lectures, and has 15 subscribers.

You will learn about 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. This course is ideal for individuals who are Aspiring Data Professionals: Those aiming to enter the field of data analytics, data engineering, or data science. or Developers Seeking Data Skills: Developers looking to augment their skill set with proficiency in Big Data tools and cloud technologies. or Professionals Transitioning to Cloud: Individuals from diverse professional backgrounds interested in transitioning or upskilling in cloud computing. or Data Enthusiasts and Learners: Anyone passionate about learning Big Data tools, cloud computing, and database management for personal or professional development. or Tech Professionals Exploring New Horizons: Professionals curious about exploring new technologies, especially in the realms of data processing, storage, and cloud solutions. It is particularly useful for Aspiring Data Professionals: Those aiming to enter the field of data analytics, data engineering, or data science. or Developers Seeking Data Skills: Developers looking to augment their skill set with proficiency in Big Data tools and cloud technologies. or Professionals Transitioning to Cloud: Individuals from diverse professional backgrounds interested in transitioning or upskilling in cloud computing. or Data Enthusiasts and Learners: Anyone passionate about learning Big Data tools, cloud computing, and database management for personal or professional development. or 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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Summary

Title: Data Mastery: Unifying Big Data and Cloud Technologies

Price: $19.99

Number of Lectures: 411

Number of Published Lectures: 409

Number of Curriculum Items: 411

Number of Published Curriculum Objects: 409

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will 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.

Who Should Attend

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.

Target Audiences

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.

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 Data

Section 1: Scala Fundamentals

Introduction to Scala
Variables, Flow Statements, Functions
Classes, Data Structures
Scala Spark Project Overview

Section 2: Spark Essentials

Hadoop & Spark Overview
Setting up Spark & Databricks
Spark RDDs, DFs
ETL Pipeline with Spark

Module 2: Mastering MongoDB

Section 1: MongoDB Basics

MongoDB Fundamentals
CRUD Operations
Query & Projection Operators
Update Operators

Section 2: Integrations & Projects

MongoDB with Node.js & Python
Building a Django App with MongoDB
ETL Using Spark with MongoDB

Module 3: AWS Cloud Essentials

Section 1: Introduction to AWS

AWS Account Setup & Services Overview
Compute and Storage Services
Infrastructure as Code & Automation

Section 2: Networking & Database Services

Networking Essentials
RDS, Redshift, DynamoDB
Advanced Topics & Integration Services

Section 3: Hands-on Exercise

Real-world Deployment Project with AWS Services

Module 4: Azure Cloud Mastery

Section 1: Azure Cloud Basics

Introduction to Azure Cloud
Azure Account Setup & Pricing
Azure Service Overview

Section 2: Azure Service Mastery

Azure Databricks & Apache Spark
Azure Blob Storage
Azure Data Factory

Section 3: Security & Key Vaults

Azure Key Vaults Implementation
Secure Key Management Practices

Conclusion:

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.

Course Curriculum

Chapter 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

Instructors

AI Sciences
AI Experts & Data Scientists |4+ Rated | 168+ Countries
AI Sciences Team
Support Team AI Sciences

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