Distributed Storage Systems BEYOND HDFS | Data Engineer Full Course | Lecture 51

Distributed Storage Systems BEYOND HDFS | Data Engineering Full Course | Lecture 51

Welcome to the fifty-first lecture of the Data Engineering Full Course series by AmpCode! 🚀 In this video, we’ll explore distributed storage systems beyond Hadoop’s HDFS, discussing modern alternatives that provide scalability, flexibility, and efficiency for big data storage.

🔍 What You'll Learn:

Limitations of HDFS and why alternatives are needed
Overview of modern distributed storage systems like Amazon S3, Apache Cassandra, and Google BigQuery
Key differences between object storage, distributed file systems, and NoSQL databases
Best practices for selecting the right storage system for your data engineering needs
By the end of this lecture, you’ll have a solid understanding of distributed storage solutions beyond HDFS and how to choose the right system for large-scale data storage and processing.

🔔 Don’t forget to subscribe to AmpCode for more lectures and updates. If you find this video helpful, please like it and share it with others learning data engineering. Let’s continue mastering distributed storage together!

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Installation links:

Oracle VM Virtualbox: https://download.virtualbox.org/virtu...

HDP Sandbox link(step-by-step procedure): https://hackmd.io/@firasj/BkSQJQ8eh

HDP Sandbox installation guide: https://hortonworks.com/tutorial/sand...

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Also check out our full Apache Hadoop course:
   • Big Data Hadoop Full Course  

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Apache Spark Installation links:

1. Download JDK: https://www.oracle.com/in/java/techno...

2. Download Python: https://www.python.org/downloads/

3. Download Spark: https://spark.apache.org/downloads.html

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Also check out similar informative videos in the field of cloud computing:

What is Big Data:    • What is Big Data? | Big Data Use Cases, Be...  

How Cloud Computing changed the world:    • How Cloud Computing changed the world!  

What is Cloud?    • What is Cloud Computing?  

Top 10 facts about Cloud Computing that will blow your mind!    • Top 10 facts about Cloud Computing that wi...  

Audience

This tutorial has been prepared for professionals/students aspiring to learn deep knowledge of Big Data Analytics using Apache Spark and become a Spark Developer and Data Engineer roles. In addition, it would be useful for Analytics Professionals and ETL developers as well.

Prerequisites

Before proceeding with this full course, it is good to have prior exposure to Python programming, database concepts, and any of the Linux operating system flavors.

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Check out our full course topic wise playlist on some of the most popular technologies:

SQL Full Course Playlist-
   • SQL Full Course  


PYTHON Full Course Playlist-
   • Python Full Course  

Data Warehouse Playlist-
   • Data Warehouse Full Course  


Unix Shell Scripting Full Course Playlist-
   • Unix Shell Scripting Full Course  

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Channel Description-

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