Interested to Buy Any Domain ? << Click Here >> for more details...
What are the drawbacks of Apache Spark?
- 1 Answers
- 338 Views
- I also Faced
- E-Mail Answers
Answer / Anubhav Singh Siddhu
Some drawbacks of Apache Spark include: high memory consumption, steep learning curve for complex tasks, potential single point of failure if not properly distributed, and slower performance for small datasets due to overhead of setup.
| Is This Answer Correct ? | 0 Yes | 0 No |
What is rdd in spark with example?
What is speculative execution in spark?
What is row rdd in spark?
Define the term ‘Lazy Evolution’ with reference to Apache Spark
What happens to rdd when one of the nodes on which it is distributed goes down?
How much faster is Apache spark than Hadoop?
What is spark vs hadoop?
What is executor memory in spark?
Define actions in spark.
List out the difference between textFile and wholeTextFile in Apache Spark?
Can a spark cause a fire?
Name the components of spark ecosystem.
-
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)
