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recent posts

  • Memory Management in PySpark- CPU Cores, executors, executor memory
  • Memory Management in PySpark- Scenario 1, 2
  • Develop and maintain CI/CD pipelines using GitHub for automated deployment, version control
  • Complete guide to building and managing data workflows in Azure Data Factory (ADF)
  • Complete guide to architecting and implementing data governance using Unity Catalog on Databricks

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Month: October 2024

  • Python Pandas Series Tutorial- Usecases, Cheatcode Sheet to revise

    October 27, 2024

  • Pandas operations, functions, and use cases ranging from basic operations like filtering, merging, and sorting, to more advanced topics like handling missing data, error handling

    October 24, 2024

  • PySpark Projects:- Scenario Based Complex ETL projects Part3

    October 22, 2024

  • PySpark Projects:- Scenario Based Complex ETL projects Part2

    October 22, 2024

  • Partitioning a Table in SQL , Hive QL, Spark SQL

    October 2, 2024

  • Pivot & unpivot in Spark SQL – How to translate SAS Proc Transpose to Spark SQL

    October 2, 2024

    PIVOT Clause in Spark sql or Mysql or Oracle Pl sql or Hive QL The PIVOT clause is a powerful tool in SQL that allows you to rotate rows into columns, making it easier to analyze and report data. Here’s how to use the PIVOT clause in Spark SQL, MySQL, Oracle PL/SQL, and Hive QL:…

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