Does spark replace hadoop?
- 1 Answers
- 377 Views
- I also Faced
- E-Mail Answers
Does spark replace hadoop?..
Answer / Sachin Gaurav
Spark repartition involves redistributing the RDD across different nodes. This operation can be used to balance the data distribution among nodes for better performance or to reduce memory consumption.
| Is This Answer Correct ? | 0 Yes | 0 No |
More Apache Spark Interview Questions
What happens when you submit spark job?
What are the two ways to create rdd in spark?
What is dataframe in spark?
How Spark uses Akka?
Does spark run hadoop?
Does spark sql use hive?
Why does spark skip stages?
What are spark jobs?
What is data pipeline in spark?
What are the ways to run spark over hadoop?
Explain different transformation on DStream?
Explain the lookup() operation in Spark?
Categories
-
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)
