Introduction to Hadoop and Spark | Data Engineer Full Course | Lecture 2
Welcome to the second lecture of the Data Engineering Full Course series by AmpCode! 🚀 In this video, we will delve into two of the most powerful tools in data engineering: Hadoop and Spark. These technologies are critical for handling big data and are widely used in the industry for processing and analyzing large datasets.
🔍 What You'll Learn:
An introduction to Hadoop and its ecosystem
Key components of Hadoop: HDFS, MapReduce, and YARN
Overview of Apache Spark and its advantages over Hadoop
How Hadoop and Spark work together in big data processing
Prepare to unlock the power of big data with Hadoop and Spark. This lecture is essential for anyone looking to enhance their data engineering skills!
🔔 Don’t forget to subscribe to AmpCode for more lectures and updates. If you found this video helpful, please like and share it with your friends and colleagues. Let's continue our journey into the world of data engineering 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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• 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-
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.
#pyspark #bigdata #datascience #dataanalytics #datascientist #spark #dataengineering #apachespark
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