Welcome to the tenth lecture of the Data Engineering Full Course series by AmpCode! 🚀 In this video, we’ll combine our knowledge of Hadoop HDFS and MapReduce to run a MapReduce job on the Hadoop Distributed File System. This practical session will demonstrate how to work with data in HDFS and process it using MapReduce.
🔍 What You'll Learn:
How to upload and manage data in HDFS
Steps to configure and run a MapReduce job on HDFS data
Analyzing the output and performance of a MapReduce job
Best practices for using HDFS and MapReduce together in big data projects
By the end of this lecture, you’ll be able to confidently work with HDFS and execute MapReduce jobs, enabling you to handle big data efficiently in Hadoop.
🔔 Don’t forget to subscribe to AmpCode for more lectures and updates. If you find this video useful, please like it and share it with your network. Let's continue mastering data engineering together!
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Installation links:
Oracle VM Virtualbox: download.virtualbox.org/virtualbox/6.1.32/VirtualBox-6.1.32-149290-Win.exe
HDP Sandbox link(step-by-step procedure): hackmd.io/@firasj/BkSQJQ8eh
HDP Sandbox installation guide: hortonworks.com/tutorial/sandbox-deployment-and-install-guide/section/1/
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Also check out our full Apache Hadoop course:
ua-cam.com/play/PL6UwySlcwEYJ2hFuGIvr4VEHUAfl-GCNT.html
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Apache Spark Installation links:
1. Download JDK: www.oracle.com/in/java/technologies/downloads/#jdk19-windows
2. Download Python: www.python.org/downloads/
3. Download Spark: 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: ua-cam.com/video/-BoykjY5nKg/v-deo.html
How Cloud Computing changed the world: ua-cam.com/video/lf2lQAyW2b4/v-deo.html
What is Cloud? ua-cam.com/video/DeCMeA9Xm2g/v-deo.html
Top 10 facts about Cloud Computing that will blow your mind! ua-cam.com/video/hmxNJEQ4XVY/v-deo.html
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-
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PYTHON Full Course Playlist-
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Data Warehouse Playlist-
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Unix Shell Scripting Full Course Playlist-
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Channel Description-
AmpCode provides you e-learning platform with a mission of making education accessible to every student. AmpCode will provide you tutorials, full courses of some of the best technologies in the world today. By subscribing to this channel, you will never miss out on high quality videos on trending topics in the areas of Big Data & Hadoop, DevOps, Machine Learning, Artificial Intelligence, Angular, Data Science, Apache Spark, Python, Selenium, Tableau, AWS , Digital Marketing and many more.
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