How can it help for avoiding costly modeling?
Answer / Mahfooz Alam
Impala can help avoid costly modeling by enabling SQL-like queries directly on data stored in Hadoop's HDFS. This means you don't have to pre-process or transform the data before querying, reducing the need for complex modeling.
| Is This Answer Correct ? | 0 Yes | 0 No |
What features from relational databases or hive are not available in impala?
What are distinct operators in impala?
Compare hive, hbase, and impala?
Is avro supported?
Why we need impala hadoop?
Why is space not freed up when I issue drop table?
State some advantages of impala?
Is hive an impala requirement?
How do I load a big csv file into a partitioned table?
How does impala process join queries for large tables?
How do I configure hadoop high availability (ha) for impala?
What is impala’s aggregation strategy?
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)