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#BigData #Spark #بالعربي #DataEngineering **Big Data Engineering in Depth with Apache Spark** Welcome to our comprehensive guide on Apache Spark! In this episode, we cover the following topics: 📌 **Objectives:** - Learn about the key characteristics of Spark, including speed, ease of use, modularity, and extensibility. - Understand how Spark achieves its high performance through hardware utilization, DAG scheduling, and the Tungsten execution engine. - Explore the benefits of Spark's modular and extensible architecture. 🔗 **Course Links:** - Lesson Link: https://www.garageeducation.org/docs/apache-spark/12-spark-characteristics - Discord Group: https://discord.gg/v7HEaJhHmg 📢 **Disclaimer:** This disclaimer informs the audience that the views, thoughts, and opinions presented in the video belong solely to the author and not necessarily to the author's employer, organization, committee, or other group or individual. 📣 **Follow us on Social Media:** - Twitter: https://twitter.com/garageeducation - Facebook: https://www.facebook.com/GarageEducationCourses/ - YouTube: https://www.youtube.com/c/GarageEducation - Website: https://www.GarageEducation.org/ - LinkedIn: https://www.linkedin.com/in/MoustafaAMahmoud 🔖 **Tags:** #BigData #Spark #Hadoop #DataEngineering #ApacheSpark #BigDataAnalytics #DataScience #MachineLearning #Python #Scala #DataLake #CloudComputing #DistributedComputing #DataProcessing #Analytics
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