Interested to Buy Any Domain ? << Click Here >> for more details...
What are the functions of "Spark Core"?
- 1 Answers
- 315 Views
- I also Faced
- E-Mail Answers
Answer / Raghuveer Singh
Spark Core is the foundation of Apache Spark, providing essential components for distributed computing. It includes: (1) RDD (Resilient Distributed Datasets), an immutable distributed collection of data that can be processed in parallel. (2) Scheduler, responsible for task management and resource allocation. (3) Executors, where tasks are executed by the worker nodes. (4) Cluster Manager, handling the communication between the driver program and the executor processes.
| Is This Answer Correct ? | 0 Yes | 0 No |
What advantages does Spark offer over Hadoop MapReduce?
What is the difference between spark and scala?
Does Apache Spark provide checkpoints?
What is the difference between dataset and dataframe in spark?
Explain the concept of resilient distributed dataset (rdd).
What is a dataframe spark?
What are shared variables in spark?
Explain Machine Learning library in Spark?
Do streamers make money from sparks?
Explain Spark leftOuterJoin() and rightOuterJoin() operation?
What is faster than apache spark?
Can we broadcast an rdd?
-
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)
