Why scala is used in spark?
Answer / Anurag Gupta
Scala is used in Spark because it serves as a powerful and concise programming language that is well-suited for big data processing. It provides features like strong static types, object-oriented programming, functional programming, and enhanced concurrency support which help in writing efficient and scalable code for Spark applications.
| Is This Answer Correct ? | 0 Yes | 0 No |
What are the ways to launch Apache Spark over YARN?
What are the features of spark rdd?
What is RDD?
What is the difference between map and flatmap?
Is it possible to run Apache Spark without Hadoop?
Can you run spark on windows?
Can we run spark on windows?
What is apache spark in big data?
Explain various Apache Spark ecosystem components. In which scenarios can we use these components?
Which one is better hadoop or spark?
Name commonly-used Spark Ecosystems
Do I need to know scala to learn 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)