Use Cases and Scenarios for Hadoop and Spark | Data Engineer Full Course | Lecture 3
Welcome to the third lecture of the Data Engineering Full Course series by AmpCode! 🚀 In this video, we’ll explore real-world use cases and scenarios where Hadoop and Spark shine. Understanding practical applications will help you grasp the true power and versatility of these tools in data engineering.
🔍 What You'll Learn:
Common use cases for Hadoop and Spark
How industries leverage these technologies for big data processing
Specific scenarios where Hadoop and Spark provide solutions
Best practices and tips for implementing Hadoop and Spark in real projects
Get ready to see Hadoop and Spark in action! This lecture will give you insights into how these tools are applied in the industry to solve complex data challenges.
🔔 Don’t forget to subscribe to AmpCode for more lectures and updates. If you find this video valuable, please like it and share it with your community. Let's continue our data engineering journey together!
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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:
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Channel Description-
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Watch video Use Cases and Scenarios for Hadoop and Spark | Data Engineer Full Course | Lecture 3 online without registration, duration hours minute second in high quality. This video was added by user AmpCode 26 August 2024, don't forget to share it with your friends and acquaintances, it has been viewed on our site 159 once and liked it 4 people.