1. Data Hub Overview

Data Hub provides the ability to store and query large amounts of data processed by .

Typical usage of Data Hub includes:

• Data tracing
• Temporary archiving
• Analytics
• Integration with external systems
• Staging data for further processing 

Data Hub requires access to Cloudera Impala, which provides high-performance, low-latency SQL queries on data stored in an Hadoop filesystem (HDFS). 

The Data Hub agent bulk loads data in CSV files to HDFS and then inserts it into a Parquet table in the Impala database. The table data is then available for query via the  Web UI.

In a production environment, it is recommended that the size of the collected files ranges between 1 to 100 MB. Though it is possible to collect and process small batches the overhead of handling a large number of files will have significant impact on performance.

You may remove old data from the Impala database with the Data Hub task agent.