Is spark faster than hadoop?
Answer / Subhash Chand
Apache Spark is generally faster than Hadoop MapReduce due to its in-memory processing and the use of resilient distributed datasets (RDDs). However, the speed advantage depends on the specific workload and dataset.
| Is This Answer Correct ? | 0 Yes | 0 No |
how can you identify whether a given operation is transformation or action?
Explain fold() operation in spark?
Explain various cluster manager in Apache Spark?
Explain Machine Learning library in Spark?
How do you parse data in xml? Which kind of class do you use with java to pass data?
What are the various advantages of DataFrame over RDD in Apache Spark?
What is executor and driver in spark?
What is spark dynamic allocation?
What are the advantage of spark?
Does spark use yarn?
What is the use of dataframe in spark?
Is it possible to use Apache Spark for accessing and analyzing data stored in Cassandra databases?
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)