How to process data using Transformation operation in Spark?
Answer / Kuldeep Kumar Singh
Data processing using Transformation operations in Apache Spark involves creating a new Dataset or DataFrame from an existing one. These transformations are lazy, meaning they are not executed immediately but stored as tasks in a task graph. Common transformation functions include map(), filter(), and groupBy(). Actions are required to trigger the execution of these transformations.
| Is This Answer Correct ? | 0 Yes | 0 No |
What are the key features of Apache Spark that you like?
How does apache spark work?
What do we mean by Partitions or slices?
What is azure spark?
What is Map() operation in Apache Spark?
Is spark better than hadoop?
What is the method to create a data frame?
explain the use of blinkdb?
Which language is better for spark?
What are the various data sources available in SparkSQL?
Does spark use hive?
Why is spark fast?
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)