Why we need impala hadoop?
Answer / Mohd Zeeshan
Impala provides a faster alternative for querying large datasets stored in HDFS compared to Hive. It leverages the same infrastructure as Hadoop, but it executes SQL queries directly on data without requiring data movement or compilation, making it more efficient.
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How apache impala works with cdh?
How do I configure hadoop high availability (ha) for impala?
Can I do insert … select * into a partitioned table?
State some advantages of impala?
Why do I have to use refresh and invalidate metadata, what do they do?
How do I load a big csv file into a partitioned table?
Can I do trforms or add new functionality?
Does impala use caching?
Why is space not freed up when I issue drop table?
What are the names of daemons in impala?
What kinds of impala queries or data are best suited for hbase?
What are the best features of impala?
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