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1)Spark Streaming e2e projects 2)Spark , bucketing and partitioning syntax 3)Data skweness, how to handle it in spark, explain different ways. 4)Kafka rebalancing issues, how you handled it 5)Kafka what kind of issues you faced and how you handled it 6)how you compared data whatever you are fetching from other sources. 7)Sources and destinations of your data in current project. 8)Internal Joins: Shuffle join,broadcast join, hash join 9)optimization technique in spark.
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Senior Software Developer

Interviewed at ITC Infotech

4.3★
Jan 24, 2024

1)Spark Streaming e2e projects 2)Spark , bucketing and partitioning syntax 3)Data skweness, how to handle it in spark, explain different ways. 4)Kafka rebalancing issues, how you handled it 5)Kafka what kind of issues you faced and how you handled it 6)how you compared data whatever you are fetching from other sources. 7)Sources and destinations of your data in current project. 8)Internal Joins: Shuffle join,broadcast join, hash join 9)optimization technique in spark.

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