FreeCourseSite com Udemy Data Engineering Essentials using SQL Python and PySpark 43 Performance Tuning using Columnar File Format and Partitioning Strategy 013 Review Execution Details for Performance Tuning using Partitioning en srt

FreeCourseSite com Udemy Data Engineering Essentials using SQL Python and PySpark
43 Performance Tuning using Columnar File Format and Partitioning Strategy 013 Review Execution Details for Performance Tuning using Partitioning en srt

Name	[FreeCourseSite.com] Udemy - Data Engineering Essentials using SQL, Python, and PySpark	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	16.1 GB
Total Files	1267
Last Seen	2025-07-02 23:45
Hash	ED79E89B5619CA524DB7B7F719ACA2ABC2C9F74B

/43 - Performance Tuning using Columnar File Format and Partitioning Strategy/013 Review Execution Details for Performance Tuning using Partitioning_en.srt	16.3 KB
/43 - Performance Tuning using Columnar File Format and Partitioning Strategy/012 Solutions on Airlines Data for Performance Tuning using Partitioning_en.srt	10.6 KB
/43 - Performance Tuning using Columnar File Format and Partitioning Strategy/018 Recap of Spark Performance Tuning Scenarios_en.srt	7.5 KB
/43 - Performance Tuning using Columnar File Format and Partitioning Strategy/008 Review Performance Details of Spark Operations on Parquet Files_en.srt	12.6 KB
/43 - Performance Tuning using Columnar File Format and Partitioning Strategy/018 Recap of Spark Performance Tuning Scenarios.mp4	15.2 MB
/43 - Performance Tuning using Columnar File Format and Partitioning Strategy/001 Introduction to Performance Tuning while storing data in Data Lake_en.srt	2.2 KB
/43 - Performance Tuning using Columnar File Format and Partitioning Strategy/014 Get Airlines Data using Date Range without Partition Pruning_en.srt	10.3 KB
/43 - Performance Tuning using Columnar File Format and Partitioning Strategy/003 Review the side effects of using CSV Files in Data Lake_en.srt	5.0 KB
/43 - Performance Tuning using Columnar File Format and Partitioning Strategy/011 Evaluate Requirements against Partition Pruning_en.srt	9.4 KB
/43 - Performance Tuning using Columnar File Format and Partitioning Strategy/016 Add Condition for Partition Pruning_en.srt	7.9 KB
/43 - Performance Tuning using Columnar File Format and Partitioning Strategy/007 Overview of Performance Assessment of Spark Jobs_en.srt	6.3 KB
/43 - Performance Tuning using Columnar File Format and Partitioning Strategy/004 Restructure CSV Data to Columnar Format using Pyspark_en.srt	8.1 KB
/43 - Performance Tuning using Columnar File Format and Partitioning Strategy/006 Run Operations on Partitioned Parquet Data_en.srt	7.3 KB
/43 - Performance Tuning using Columnar File Format and Partitioning Strategy/015 Parameterize Spark SQL Solution for Partition Pruning_en.srt	5.9 KB
/43 - Performance Tuning using Columnar File Format and Partitioning Strategy/010 Overview of Folder Structure for Partitioned Data in Spark_en.srt	7.3 KB
Showing first 15 files of 1267 total files