Why lazy evaluation is good in spark?
Answer / Satyendra Kumar Verma
Lazy Evaluation is good in Spark because it allows for efficient resource utilization. By delaying the execution of actions, Spark can optimize and schedule the tasks to run in parallel, reducing unnecessary computations.
| Is This Answer Correct ? | 0 Yes | 0 No |
Which spark library allows reliable file sharing at memory speed across different cluster frameworks?
What is row rdd in spark?
Why are spark transformations lazy?
What is aggregatebykey spark?
What is a dstream in apache spark?
Is it possible to run Apache Spark on Apache Mesos?
Define Spark-SQL?
What is spark training?
Explain various level of persistence in Apache Spark?
What is the difference between client mode and cluster mode in spark?
What happens when an action is executed in spark?
What happens when we submit a spark job?
Apache Hadoop (394)
MapReduce (354)
Apache Hive (345)
Apache Pig (225)
Apache Spark (991)
Apache HBase (164)
Apache Flume (95)
Apache Impala (72)
Apache Cassandra (392)
Apache Mahout (35)
Apache Sqoop (82)
Apache ZooKeeper (65)
Apache Ambari (93)
Apache HCatalog (34)
Apache HDFS Hadoop Distributed File System (214)
Apache Kafka (189)
Apache Avro (26)
Apache Presto (15)
Apache Tajo (26)
Hadoop General (407)