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

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 Forwarding Agent bulk loads data in CSV files to HDFS and then inserts it into a Parquet table in the Impala database specified by a Data Hub Profile. The table data is then available for query via Data Hub Query.

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.

Prerequisites

The reader of this document should be familiar with:

Cloudera Impala (https://www.cloudera.com)

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