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Programming Essentials Python - Manipulating Collections - Overview of Standard Transformations

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Let us understand standard transformations we perform on top of data in collections. -Filtering
1.Row level transformations such as standardization, masking, cleansing etc.
2.Total Aggregations
3.Grouped Aggregations
4.Sorting and Ranking
🔵Click below to get access to the course with one month lab access for "Data Engineering Essentials Hands-on - SQL, Python and Spark" -
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More top rated #DataEngineering Courses from #itversity 👇🏻
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🟢Data Engineering using AWS Analytics Services
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🟢Data Engineering using Kafka and Spark Structured Streaming (NEW)
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1.Row level transformations such as standardization, masking, cleansing etc.
2.Total Aggregations
3.Grouped Aggregations
4.Sorting and Ranking
🔵Click below to get access to the course with one month lab access for "Data Engineering Essentials Hands-on - SQL, Python and Spark" -
=============================================
More top rated #DataEngineering Courses from #itversity 👇🏻
_____________________________________________________
🟢Data Engineering using AWS Analytics Services
🟢Data Engineering using Databricks features on AWS and Azure
🟢Data Engineering using Kafka and Spark Structured Streaming (NEW)
==============================================
For quick itversity updates, subscribe to our newsletter or follow us on social platforms.
#Spark #Python #DataEngineeringEssentials #SQL #BigData
🟡Join this channel to get access to perks: