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Understanding How to Handle Data Skewness in PySpark #interview
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7,697 Views • Apr 16, 2024 • Click to toggle off description
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Views : 7,697
Genre: Education
Date of upload: Apr 16, 2024 ^^


Rating : 4.97 (3/402 LTDR)

99.26% of the users lieked the video!!
0.74% of the users dislieked the video!!
User score: 98.89- Masterpiece Video

RYD date created : 2024-05-23T11:22:56.443787Z
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YouTube Comments - 7 Comments

Top Comments of this video!! :3

@sovikguhabiswas8838

3 weeks ago

How is broadcast join useful to handle Skewness? Either Salting for spark version<3.0.0 for spark>= 3.0.0 it's AQE

2 |

@writtikdey4309

2 months ago

This guy said, everything what he has studied.. 😂

7 |

@rohitpandey9920

2 months ago

If I'm not wrong, we use salting (traditional method, not much used) and adaptive query optimisation (AQE) to overcome Data skewness right?

8 |

@RahulSaini-ng6po

2 months ago

Here, the interviewer asked about data skewness. Are data skewness and partition skewness the same thing, or is there some difference? Please explain !

2 |

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