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Skewed data refers to an uneven distribution where certain values or keys appear more frequently than others. This can lead to imbalances in data processing, especially in distributed systems where data is partitioned across multiple nodes.
Load Imbalance:
Resource Overutilization:
Inefficient Joins:
Increased Data Transfer and Latency:
Challenges in Query Optimization:
Data Repartitioning:
Salting:
Skew-Aware Joins:
Dynamic Load Balancing:
Query Optimization Techniques:
In summary, skewed data can severely impact query processing performance in distributed systems. By employing strategies such as data repartitioning, salting, and dynamic load balancing, it's possible to mitigate these effects and ensure efficient query execution.