When
tables are available in SAS metadata, you can use SAS Visual Analytics Administrator
to add tables to HDFS so that they can be loaded into memory on the SAS LASR Analytic Server.
Analysts can then explore the data from the SAS Visual Analytics explorer
interface. The HDFS content explorer enables administrators to view
information about the prepared data such as the row count, columns,
and column information.
When
tables are added to HDFS with SAS Visual Analytics Administrator,
they are stored with a SASHDAT file suffix. This is a special file
format used by the SAS LASR Analytic Server.
This special file format and the data redundancy provided by SAS High-Performance Deployment of Hadoop
enable the SAS LASR Analytic Server to read the data in parallel
at very impressive rates. The data that is stored in HDFS is stored
in blocks. The HDFS content explorer enables an administrator to view
the block distribution, block redundancy, and measures of block utilization.