Interested to Buy Any Domain ? << Click Here >> for more details...
How does apache spark engine work?
- 1 Answers
- 332 Views
- I also Faced
- E-Mail Answers
Answer / Saurabh Tewari
The Apache Spark engine is a powerful data processing engine that can handle large-scale data processing tasks. It uses in-memory computing, distributed storage, and fault tolerance to provide fast performance. When an application runs on Spark, the Driver Program divides the data into smaller chunks called Resilient Distributed Datasets (RDDs). These RDDs are distributed across multiple nodes in the cluster, and each node processes its assigned data. Once processing is complete, Spark aggregates the results to produce the final output.
| Is This Answer Correct ? | 0 Yes | 0 No |
What is meant by spark in big data?
What exactly is spark?
Explain different transformations in DStream in Apache Spark Streaming?
Who creates dag in spark?
Does spark work with python 3?
What is difference between client and cluster mode in spark?
Explain the use of broadcast variables
What languages support spark?
Explain the operation transformation and action in Apache Spark RDD?
What is flatmap in angular?
How does pipe operation writes the result to standard output in Apache Spark?
What are the advantage of 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)
