read write csv file with Spark | 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 how we can read write csv file with Spark
📌 What You’ll Learn:
Timestamps:
00:00 Introduction
00:50 Initial Setup
01:39 Read csv file in spark dataframe
03:59 use option header true
06:34 Read multipal csv files
07:55 Read all files from directry
09:28 Reading csv files with different options
13:39 Reading csv file with custom schema
15:09 Writing dataframe to csv
19:18 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:
Skillsharp https://www.youtube.com/ @SkillSharp
🌐 Source code
https://github.com/AkshayRathodIt/Ski...
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