List: PySpark - SQL Basics/101 | Curated by Ahmed Uz Zaman

Mar 9, 2023
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PySpark - SQL Basics/101
Ahmed Uz Zaman
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Plumbers Of Data Science
PySpark Collect vs Select: Understanding the Differences and Best PracticesOptimizing PySpark Data Processing Efficiency with Collect and Select Methods
5 min read·Feb 23, 2023
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Ahmed Uz Zaman
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Geek Culture
Mastering PySpark UDFs: Advantages, Disadvantages, and Best PracticesAre PySpark UDFs Right for Your Data Processing Needs? A Comparative Analysis
7 min read·Mar 7, 2023
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Ahmed Uz Zaman
Understanding PySpark’s StructType and StructField for Complex Data StructuresLearn how to create and apply complex schemas using StructType and StructField in PySpark, including arrays and maps
6 min read·Mar 7, 2023
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Ahmed Uz Zaman
Exploring the Power of PySpark: A Guide to Using foreach and foreachPartition ActionsMaximizing Efficiency and Performance in PySpark Jobs through foreach and foreachPartition Actions
3 min read·Mar 3, 2023
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Ahmed Uz Zaman
Understanding PySpark Transformations: Map and MapPartitions ExplainedTransforming Big Data with PySpark: Map vs. MapPartitions
3 min read·Feb 28, 2023
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Ahmed Uz Zaman
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ILLUMINATION
Managing Memory and Disk Resources in PySpark with Cache and PersistAn overview of PySpark’s cache and persist methods and how to optimize performance and scalability in PySpark applications
6 min read·Feb 21, 2023
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Ahmed Uz Zaman
Eliminating Duplicate Data with PySpark’s distinct MethodFrom Messy to Clean: Using PySpark’s distinct Method for Data Processing
2 min read·Feb 17, 2023
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Ahmed Uz Zaman
Exploring the Capabilities and Limitations of PySpark’s Pivot FunctionA Guide to Using Pivot() for Data Transformation in PySpark
5 min read·Feb 16, 2023
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Ahmed Uz Zaman
Simplifying Data Cleaning in PySpark: Using the drop() Function to Remove ColumnsA Beginner’s Guide with Practical Examples
3 min read·Feb 15, 2023
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Ahmed Uz Zaman
PySpark Data Aggregation: A Comprehensive Guide to groupBy() and Filtering Aggregated DataA comprehensive guide to using PySpark’s groupBy() function and aggregate functions, including examples of filtering aggregated data
4 min read·Feb 14, 2023
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Ahmed Uz Zaman
What is`withColumnRenamed()` used for in a Spark SQL?Guide on how to use withColumnRenamed() SQL function on a DataFrame
3 min read·Feb 9, 2023
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Ahmed Uz Zaman
A Comprehensive Guide on using `withColumn()`Modifying, Renaming, and Transforming Columns in PySpark with withColumn()
6 min read·Feb 8, 2023
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Ahmed Uz Zaman
Efficiently Combining Data in Spark: The Power of Union and Union AllStreamlining Data Processing and Improving Analytics with Spark’s Union and Union All Operations
3 min read·Feb 6, 2023
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Ahmed Uz Zaman
in
Plumbers Of Data Science
Exploring the Different Join Types in Spark SQL: A Step-by-Step GuideUnderstand the Key Concepts and Syntax of Cross, Outer, Anti, Semi, and Self Joins
10 min read·Feb 3, 2023
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Ahmed Uz Zaman
How to use `where()` and `filter()` in a DataFrame with ExamplesFiltering Rows in a Spark DataFrame: Techniques and Tips
4 min read·Jan 31, 2023
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Ahmed Uz Zaman
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ILLUMINATION
Creating DataFrames in Spark: From CSV, Parquet, Avro, RDBMS, and moreBuilding DataFrames in Spark: A comprehensive guide to loading data from various sources
6 min read·Jan 30, 2023
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