map_keys(), map_values() & explode() functions to work with MapType Columns in PySpark

map_keys(), map_values() & explode() functions to work with MapType Columns in PySpark

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🛠️ Mastering PySpark: Working with MapType Columns using map_keys(), map_values(), and explode() Functions 🚀

Are you looking to enhance your PySpark skills and efficiently handle MapType columns in your data? Look no further! In this tutorial, we delve into the powerful functions map_keys(), map_values(), and explode() to seamlessly manipulate MapType columns in PySpark. Whether you're a data engineer, data scientist, or a big data enthusiast, this video is tailored to boost your PySpark proficiency.

🔍 What You'll Learn:
⚡Introduction to MapType Columns: Understand the structure and use cases of MapType columns in PySpark.
⚡Using map_keys(): Learn how to extract keys from MapType columns and create new columns with these keys.
⚡Using map_values(): Discover how to retrieve values from MapType columns and generate new columns with these values.
⚡Utilizing explode(): Explore how to flatten MapType columns to work with the keys and values efficiently.

📚 Key Functions Covered:
⚡map_keys()
⚡map_values()
⚡explode()

📈 Why This Tutorial?
⚡Step-by-step explanations and practical examples
⚡Clear and concise code demonstrations
⚡Real-world applications and scenarios

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#PySpark #BigData #DataScience #MapType #DataEngineering #SparkSQL #DataAnalysis #map_keys #map_values #explode

►Complete course [playlist]:

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map_keys(), map_values() & explode() functions to work with MapType Columns in PySpark
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