Describe different transformations in dstream in apache spark streaming?
Answer / Swati Kumari
Transformations in DStream (DataStream) in Apache Spark Streaming include map, filter, flatMap, reduceByKey, join, aggregateByKey, window, and countByValue. These transformations allow for various data manipulations like data filtering, aggregation, joining, and windowing.
| Is This Answer Correct ? | 0 Yes | 0 No |
What is spark lineage?
Explain pipe() operation. How it writes the result to the standard output?
What is a spark context?
what do you mean by the worker node?
List out the ways of creating RDD in Apache Spark?
Explain lineage graph
Explain how can spark be connected to apache mesos?
What are the downsides of Spark?
How to identify that the given operation is transformation or action?
Explain join() operation in Apache Spark?
Explain the default level of parallelism in Apache Spark
Do we need to install scala for 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)