Interested to Buy Any Domain ? << Click Here >> for more details...
Explain apache spark streaming? How is the processing of streaming data achieved in apache spark?
- 1 Answers
- 323 Views
- I also Faced
- E-Mail Answers
Answer / Nitin Gupta
Apache Spark Streaming is an extension of Apache Spark that allows for real-time data processing. It enables users to process live data streams from various sources like Kafka, Twitter, or custom input sources. The processing of streaming data in Spark involves: (1) creating a DStream (DataStream), which represents the continuous stream; (2) applying transformations and actions on the DStream (e.g., map, filter, reduce); (3) receiving the results as batches at specified intervals.
| Is This Answer Correct ? | 0 Yes | 0 No |
What is external shuffle service in spark?
Why do we need sparkcontext?
How to start and stop spark in interactive shell?
What are benefits of Spark over MapReduce?
How sparksql is different from hql and sql?
What is spark certification?
Please enumerate the various components of the Spark Ecosystem.
Can you define rdd?
What is catalyst framework in spark?
What is apache spark written in?
What is spark database?
What is azure 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)
