Hadoop Tutorial for Beginners - Full Course

Hadoop Tutorial For Beginners 2022 | Hadoop Full Course In 10 Hours | Big Data Tutorial

This full course video on Hadoop will introduce you to the world of big data, the applications of big data, the significant challenges in big data, and how Hadoop solves these major challenges. You will get an idea about the essential tools that are part of the Hadoop ecosystem. You will learn how Hadoop stores vast volumes of data using HDFS, and processes this data using MapReduce. You will understand how cluster resource management works using YARN. It will make you know how you can query and analyze big data using tools and frameworks like Hive, Pig, Sqoop, and HBase. These of these tools will give a hands-on experience that will help you understand it better. Finally, you will see how to become a big data engineer and come across a few important interview questions to build your career in Hadoop. Now, let's get started and learn Hadoop.

The below topics are covered in this Hadoop full course tutorial:

• Evolution of Big Data
• Why Big Data
• What is Big Data
• 5V's of Big Data
• Big Data Case Study
• Challenges of Big Data
• Hadoop as a Solutions
• History of Hadoop
• Cloudera Hadoop Installation
• Hadoop Installation on Ubuntu
• Hadoop Ecosystem
• HDFS Tutorial
• Why HDFS?
• What is HDFS? 
• HDFS Cluster Architecture
• HDFS Data Blocks
• DataNode Failure and Replication
• Rack Awareness in HDFS
• HDFS Architecture
• HDFS Read Mechanism
• HDFS Write Mechanism
• HDFS Write Mechanism with example
• Advantages of HDFS
• HDFS Tutorial
• MapReduce Analogy
• What is MapReduce?
• Parallel Processing MapReduce
• MapReduce Workflow
• MapReduce Architecture
• MapReduce Example
• Hadoop 1.0 (MR 1)
• Limitations of Hadoop 1.0 (MR 1)
• Need for YARN - 4:02:25
• Solution - Hadoop 2.0 (YARN) - 4:04:15
• What is YARN? - 4:05:13
• Workloads running on YARN - 4:06:33
• YARN Components
• YARN Components - Resource Manager
• YARN Components - Node Manager
• YARN Architecture
• Running an application in YARN
• Need for Sqoop
• What is Sqoop
• Sqoop Features
• Sqoop Architecture
• Sqoop Import
• Sqoop Export
• Sqoop Processing
• Demo on Sqoop
• Flume
• Hadoop Ecosystem
• History of Hive
• Big Data Analytics
• Big Data Applications
• How to become a Big Data Engineer
• Hadoop Interview Questions

#hadoop #bigdata 

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SQL Tutorial - Full Database Course for Beginners. DO NOT MISS!!!

In this course, we’ll be looking at database management basics and SQL using the MySQL RDBMS.
⭐️ Contents ⭐
⌨️ (0:00) Introduction
⌨️ (2:36) What is a Database?
⌨️ (23:10) Tables & Keys
⌨️ (43:31) SQL Basics
⌨️ (52:26) MySQL Windows Installation
⌨️ (1:01:59) MySQL Mac Installation
⌨️ (1:15:49) Creating Tables
⌨️ (1:31:05) Inserting Data
⌨️ (1:38:17) Constraints
⌨️ (1:48:11) Update & Delete
⌨️ (1:56:11) Basic Queries
⌨️ (2:08:37) Company Database Intro
⌨️ (2:14:05) Creating Company Database
⌨️ (2:30:27 ) More Basic Queries
⌨️ (2:26:24) Functions
⌨️ (2:45:13) Wildcards
⌨️ (2:53:53) Union
⌨️ (3:01:36) Joins
⌨️ (3:11:49) Nested Queries
⌨️ (3:21:52) On Delete
⌨️ (3:30:05) Triggers
⌨️ (3:42:12) ER Diagrams Intro
⌨️ (3:55:53) Designing an ER Diagram
⌨️ (4:08:34) Converting ER Diagrams to Schemas
📺 The video in this post was made by freeCodeCamp.org
The origin of the article: https://www.youtube.com/watch?v=HXV3zeQKqGY&list=PLWKjhJtqVAblfum5WiQblKPwIbqYXkDoC&index=8
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C++ Tutorial for Beginners - Full Course. DO NOT MISS!!!

This course will give you a full introduction into all of the core concepts in C++.
⭐️ Contents ⭐
⌨️ (0:00:00) Introduction
⌨️ (0:01:38) Windows Installation
⌨️ (0:04:54) Mac Installation
⌨️ (0:08:44) Setup & Hello World
⌨️ (0:12:29) Drawing a Shape
⌨️ (0:19:55) Variables
⌨️ (0:31:43) Data Types
⌨️ (0:39:15) Working With Strings
⌨️ (0:49:00) Working With Numbers
⌨️ (0:59:41) Getting User Input
⌨️ (1:05:32) Building a Calculator
⌨️ (1:09:28) Building a Mad Libs
⌨️ (1:13:45) Arrays
⌨️ (1:20:03) Functions
⌨️ (1:29:47) Return Statement
⌨️ (1:35:22) If Statements
⌨️ (1:47:15) If Statements (con’t)
⌨️ (1:55:58) Building a Better Calculator
⌨️ (2:02:20) Switch Statements
⌨️ (2:10:47) While Loops
⌨️ (2:18:53) Building a Guessing Game
⌨️ (2:29:18) For Loops
⌨️ (2:38:32) Exponent Function
⌨️ (2:45:21) 2d Arrays & Nested Loops
⌨️ (2:54:55) Comments
⌨️ (2:59:11) Pointers
⌨️ (3:13:26) Classes & Objects
⌨️ (3:25:40) Constructor Functions
⌨️ (3:34:41) Object Functions
⌨️ (3:41:43) Getters & Setters
⌨️ (3:54:04) Inheritance

Course developed by Mike Dane. Check out his YouTube channel for more great programming
📺 The video in this post was made by freeCodeCamp.org
The origin of the article: https://www.youtube.com/watch?v=vLnPwxZdW4Y&list=PLWKjhJtqVAblfum5WiQblKPwIbqYXkDoC&index=10
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Python tutorial Full Course from scratch

Go to playlist and learn full Python Course in free. No charges are applied. 100% FREE course.

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Data Visualization in R with ggplot2: A Beginner Tutorial

A famous general is thought to have said, “A good sketch is better than a long speech.” That advice may have come from the battlefield, but it’s applicable in lots of other areas — including data science. “Sketching” out our data by visualizing it using ggplot2 in R is more impactful than simply describing the trends we find.

This is why we visualize data. We visualize data because it’s easier to learn from something that we can see rather than read. And thankfully for data analysts and data scientists who use R, there’s a tidyverse package called ggplot2 that makes data visualization a snap!

In this blog post, we’ll learn how to take some data and produce a visualization using R. To work through it, it’s best if you already have an understanding of R programming syntax, but you don’t need to be an expert or have any prior experience working with ggplot2

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Full Ethical Hacking Course - Network Penetration Testing for Beginners (2019)

Learn network penetration testing / ethical hacking in this full tutorial course for beginners. This course teaches everything you need to know to get started with ethical hacking and penetration testing. You will learn the practical skills necessary to work in the field. Throughout the course, we will develop our own Active Directory lab in Windows, make it vulnerable, hack it, and patch it. We’ll cover the red and blue sides. We’ll also cover some of the boring stuff like report writing :).
⭐️ Course Contents ⭐️
⌨️ (0:00) - Course Introduction/whoami
⌨️ (6:12) - Part 1: Introduction, Notekeeping, and Introductory Linux
⌨️ (1:43:45) - Part 2: Python 101
⌨️ (3:10:05) - Part 3: Python 102 (Building a Terrible Port Scanner)
⌨️ (4:23:14) - Part 4: Passive OSINT
⌨️ (5:41:41) - Part 5: Scanning Tools & Tactics
⌨️ (6:56:42) - Part 6: Enumeration
⌨️ (8:31:22) - Part 7: Exploitation, Shells, and Some Credential Stuffing
⌨️ (9:57:15) - Part 8: Building an AD Lab, LLMNR Poisoning, and NTLMv2 Cracking with Hashcat
⌨️ (11:13:20) - Part 9: NTLM Relay, Token Impersonation, Pass the Hash, PsExec, and more
⌨️ (12:40:46) - Part 10: MS17-010, GPP/cPasswords, and Kerberoasting
⌨️ (13:32:33) - Part 11: File Transfers, Pivoting, Report Writing, and Career Advice

📺 The video in this post was made by freeCodeCamp.org
The origin of the article: https://www.youtube.com/watch?v=3Kq1MIfTWCE&list=PLWKjhJtqVAblfum5WiQblKPwIbqYXkDoC&index=6
🔺 DISCLAIMER: The article is for information sharing. The content of this video is solely the opinions of the speaker who is not a licensed financial advisor or registered investment advisor. Not investment advice or legal advice.
Cryptocurrency trading is VERY risky. Make sure you understand these risks and that you are responsible for what you do with your money
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