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collect_list(), approx_count_distinct(), avg(), collect_set(), countDistinct(), count() #scala3

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collect_list(), approx_count_distinct(), avg(), collect_set(), countDistinct(), count() | Aggregate Function in Scala 3

Unlock the power of aggregate functions in Scala 3 with this comprehensive tutorial! In this video, we'll dive deep into the most commonly used aggregate functions like collect_list(), approx_count_distinct(), avg(), collect_set(), countDistinct(), and count(). Learn how to efficiently manipulate and analyze large datasets in Scala, perfect for working with Apache Spark and big data processing.

Whether you're a beginner or an experienced Scala developer, this video will guide you through practical examples and use cases, making it easier to understand and apply these powerful functions in your projects.

🔍 What you'll learn:
⚡How to use collect_list() to gather all elements in a group.
⚡The difference between countDistinct() and approx_count_distinct() for distinct counting.
⚡How avg() simplifies average calculations in your datasets.
⚡Efficient data deduplication with collect_set().
⚡Practical applications of these functions in real-world scenarios.

Make sure to like, comment, and subscribe for more Scala 3 tutorials and coding tips!

#Scala3 #ApacheSpark #BigData #FunctionalProgramming #ScalaTutorial #DataAnalysis #AggregateFunctions

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collect_list(), approx_count_distinct(), avg(), collect_set(), countDistinct(), count() #scala3

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