Concepts in Loading Data

SAS Visual Analytics can load data from registered tables or from SASHDAT files stored in HDFS to the SAS LASR Analytic Server. The following table identifies some of the advantages and disadvantages of each method:
Comparison of Registered Tables and HDFS Data Sources
Data Source
Advantages
Disadvantages
Registered table
Provides a rapid method for loading tables.
Appropriate for smaller data sets because the data must be transferred over the network.
If the table is unloaded or the server stops, the data must be transferred over the network again.
SASHDAT file in HDFS
Impressive performance for loading very large data sets in parallel.
If a SAS LASR Analytic Server is stopped or the table is unloaded from the server, loading it again is also very fast.
Requires a separate step to add the data to HDFS and then load it before the data is available to SAS clients.