What are the limitations of Hadoop?
Answer / Mukesh Fattu Shivade
The limitations of Hadoop include its learning curve, which can be steep for beginners. It requires significant resources to run effectively, making it expensive for small-scale projects. Data retrieval and real-time processing are not as efficient as in other systems. Hadoop also struggles with handling small files due to its file system architecture.
| Is This Answer Correct ? | 0 Yes | 0 No |
What is Rack Awareness? What is its need in Hadoop?
Compare Apache Hadoop and Apache Spark?
What is Identity reducer?
Why Hadoop performs replication, although it results in data redundancy?
Is Namenode machine same as DataNode machine as in terms of hardware in Hadoop?
What are configuration files in Hadoop?
Do we need to place 2nd and 3rd data in rack 2 only?
Where is hadoop-env.sh file present?
How often DataNode send heartbeat to NameNode in Hadoop?
What is the difference between TextinputFormat and KeyValueTextInputFormat class?
Is Namenode machine same as DataNode machine as in terms of hardware?
What does the file hadoop-metrics.properties do?
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)