What is the difference between DSM and RDD?
Answer / Parvind Pal
"Apache Spark's DataSet API (DSM) was introduced as a successor to the RDD. While RDD provides a general distributed collection, DSM focuses on optimizing common data processing patterns by providing more efficient APIs for operations like joins and aggregations. DSM is built on top of RDD, offering similar functionality but with performance improvements."n
| Is This Answer Correct ? | 0 Yes | 0 No |
How do I use spark with big data?
What are accumulators in Apache Spark?
What file systems Spark support?
What exactly is spark?
What does map transformation do? Provide an example.
Who invented spark?
What is a worker node in Apache Spark?
What is the use of flatmap in spark?
Is hadoop required for spark?
What do you understand by SchemaRDD?
How is Apache Spark better than Hadoop?
What is difference between hive and spark?
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)