What are the types of transformation in RDD in Apache Spark?
Answer / Aniket Shukla
There are two main categories of transformations in RDD: parallel collections and higher-order functions. Parallel collections include operations like map(), filter(), and reduce(). Higher-order functions involve aggregation operations like fold(), combineByKey(), and groupByKey().
| Is This Answer Correct ? | 0 Yes | 0 No |
What is rdd map?
Define the run-time architecture of Spark?
Describe Spark SQL?
What is write ahead log(journaling)?
Who invented spark?
What is difference between map and flatmap in spark?
Why should I use spark?
Are spark dataframes distributed?
Is apache spark a tool?
What is the difference between hadoop and spark?
What is project tungsten in spark?
Where are rdd stored?
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)