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Processing Graphs Using Spark GraphX | Data Engineering Full Course | Lecture 35 Welcome to the thirty-fifth lecture of the Data Engineering Full Course series by AmpCode! 🚀 In this video, we’ll dive deeper into Spark GraphX and explore how to process and analyze graph data efficiently. GraphX provides powerful APIs for working with graphs at scale, making it an essential tool for big data analytics. 🔍 What You'll Learn: Understanding the fundamentals of graph processing in Spark Creating and manipulating graphs using GraphX Implementing common graph algorithms like PageRank and Connected Components Real-world use cases for GraphX in data engineering By the end of this lecture, you’ll be equipped with the knowledge to process and analyze large-scale graph data using Spark GraphX. 🔔 Don’t forget to subscribe to AmpCode for more lectures and updates. If you find this video helpful, please like and share it with others learning data engineering. Let’s continue mastering Spark together! --------------------------------------------------------------------------------------------------------- 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... ------------------------------------------------------------------------------------------------------------- Also check out our full Apache Hadoop course: • Big Data Hadoop Full Course ---------------------------------------------------------------------------------------------------------------------- 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 ------------------------------------------------------------------------------------------------------------- ------------------------------------------------------------------------------------------------------------- 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. ----------------------------------------------------------------------------------------------------------------------- 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 -----------------------------------------------------------------------------------------------------------------------Don't forget to like and follow us on our social media accounts: Facebook- / ampcode Instagram- / ampcode_tutorials Twitter- / ampcodetutorial Tumblr- ampcode.tumblr.com ----------------------------------------------------------------------------------------------------------------------- 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