File Formats in Apache Spark | CSV, JSON, Parquet, Avro | Azure Databricks Tutorial | MindMajix – YouTube

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In this Azure Databricks tutorial, you’ll learn about File Formats in Apache Spark. In this tutorial, you’ll learn everything you need to know about the most commonly used file formats in Spark, including Parquet, Avro, JSON, CSV, and Delta Lake.

Understanding file formats is crucial for efficient data storage, faster processing, and cost optimization in big data and cloud environments like Azure Databricks. This video is perfect for data engineers, data scientists, and cloud professionals working with Apache Spark, Azure Databricks, or big data pipelines.

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👉 Below are the topics covered in this ‘File Formats in Spark’ video:
✔ Importance of file formats in Spark performance.
✔ CSV, Parquet, Avro, JSON formats explained.
✔ Differences between structured and semi-structured formats.
✔ When to use Parquet vs. Avro vs. Delta.
✔ Hands-on examples using Azure Databricks.

✅ About MindMajix’s Azure Databricks Training:
Azure Databricks certification training by MindMajix helps you utilize the Apache Spark and powerful clusters deployed on the Azure Databricks platform for running the massive data engineering workloads in the cloud. In this course, you will learn to develop the data lakehouse with the Azure data bricks and understand the capabilities of Azure Databricks. Our industry scenarios and real-world projects will help you practice the skills acquired in this Azure Databricks training and clear the Microsoft Certified: “DP-203: Data Engineering on Azure.”

🔑 Key Features
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👉 Gain Job-ready Skills.
👉 24/7 Support.
👉 Dedicated Learning Mentors.
👉 Guaranteed Job Interviews.
👉 Real-life Projects.
👉 Get Certified.

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