Explain how you would implement real-time analytics using a streaming platform like Kafka or Kinesis.
Spark/Big Datahard
342
Explain how you would use Kafka Connect to ingest data from a relational database into Kafka while ensuring minimal latency and exactly-once semantics.
Spark/Big Datahard
343
Explain job execution in Spark: stages, tasks, Catalyst Optimizer
Spark/Big Datahard
344
Explain read and write modes in Spark.
Spark/Big Datahard
345
Explain repartition vs. coalesce. Which one would you use to reduce shuffle operations?
Spark/Big Datahard
346
Explain the DAG in Spark and how it plays a role in execution.
Spark/Big Datahard
347
Explain the Medallion architecture and its benefits in data engineering.
Spark/Big Datahard
348
Explain the architecture and role of the Hive Metastore in a data pipeline
Spark/Big Datahard
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