Spark shell and spark submit | Data Engineering, Spark & Databricks Course
Welcome to the chapter of our comprehensive course on Data Engineering, Spark, and Databricks! In this video, We will see Spark shell and spark submit
📌 What You’ll Learn:
Timestamps:
00:00 Introduction
01:00 Spark-submit
02:38 Spark-submit example
04:14 Spark shell with example
06:03 Thank You
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🌟 Why This Course?
Big Data is at the core of digital transformation, and understanding its fundamentals is crucial for anyone looking to build a career in data engineering. In this course, we'll break down complex concepts into easy-to-understand lessons, accompanied by practical examples and hands-on exercises.
🔧 Tools and Technologies:
Throughout this course, we'll dive deep into tools like Apache Spark and Databricks, which are essential for processing and analyzing Big Data. You'll learn how to set up your environment, write efficient Spark jobs, and leverage Databricks for seamless data engineering workflows.
🎯 Who Should Watch This?
1. Aspiring Data Engineers
2. Software Developers and Engineers
3. Data Analysts interested in Big Data
4. IT Professionals transitioning to Big Data roles
5. Students and enthusiasts eager to learn about Big Data
📅 What’s Next?
Stay tuned for the upcoming chapters History of Big Data
🔗 Useful Links:
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