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Name Size
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015 Section Recap.mp4 199M
005 Handling Data Spill.mp4 178M
012 Optimizing Pipelines for Analytical or Transactional Purposes.mp4 138M
014 Troubleshooting a Failed Pipeline Run.mp4 125M
010 Troubleshooting a Failed Spark Job.mp4 98M
004 Handling Skew in Data.mp4 90M
007 Tuning Shuffle Partitions.mp4 90M
009 Tuning Queries by Using Cache.mp4 85M
008 Optimizing Resource Management.mp4 82M
006 Finding Shuffling in a Pipeline.mp4 69M
011 Debugging Spark Jobs by Using the Spark UI.mp4 64M
003 Rewriting User-Defined Functions.mp4 63M
002 Compacting Small Files.mp4 50M
001 Section Introduction.mp4 43M
005 Handling Data Spill.en.srt 17K
004 Handling Skew in Data.en.srt 14K
015 Section Recap.en.srt 14K
012 Optimizing Pipelines for Analytical or Transactional Purposes.en.srt 13K
006 Finding Shuffling in a Pipeline.en.srt 11K
007 Tuning Shuffle Partitions.en.srt 9.9K
010 Troubleshooting a Failed Spark Job.en.srt 9.5K
008 Optimizing Resource Management.en.srt 9.4K
009 Tuning Queries by Using Cache.en.srt 8.0K
014 Troubleshooting a Failed Pipeline Run.en.srt 7.9K
011 Debugging Spark Jobs by Using the Spark UI.en.srt 7.0K
002 Compacting Small Files.en.srt 6.6K
003 Rewriting User-Defined Functions.en.srt 6.0K
001 Section Introduction.en.srt 3.4K
014 Troubleshoot Pipeline Orchestration and Triggers in Azure Data Factory.txt 89