Interested to Buy Any Domain ? << Click Here >> for more details...
What is difference between spark and hadoop?
- 1 Answers
- 274 Views
- I also Faced
- E-Mail Answers
Answer / Mohammad Ayaz
Spark and Hadoop are often used together, but they have distinct roles. Hadoop is a framework for storing and processing large datasets on a cluster, while Spark provides faster in-memory data processing for various operations such as SQL queries, machine learning, and graph processing.
| Is This Answer Correct ? | 0 Yes | 0 No |
Is scala required for spark?
What is spark master?
Explain Spark countByKey() operation?
Explain sum(), max(), min() operation in Apache Spark?
What do you understand by SchemaRDD?
What is Spark.executor.memory in a Spark Application?
What language is apache spark?
What are broadcast variables in Apache Spark? Why do we need them?
What are Paired RDD?
Do you know the comparative differences between apache spark and hadoop?
List various commonly used machine learning algorithm?
Explain Accumulator in 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)
