The data preparation
interface enables an administrator to prepare data by performing joins,
adding calculated columns, subsetting data, and sorting. Once the
data preparation operations are entered, administrators can load tables
to the SAS LASR Analytic Server.
In addition, for large data sets, the prepared data can be distributed
to a co-located data provider such as SAS Visual Analytics Hadoop.
The SAS LASR Analytic Server is able to read large data sets
in parallel to memory from data that is distributed in a co-located
data provider.
The data preparation
interface is also used to start and stop server instances, as well
as to load and unload tables from the server instances. Once a server
is started, administrators can view information about the server instance.
This includes the user account that was used to start the server and
the tables that are resident in memory. The information about tables
includes the number of rows and columns for an at-a-glance evaluation
of the number of server instances and tables available for use.
For
deployments that use SAS Visual Analytics Hadoop, navigating files in
HDFS is also available from the data preparation interface. The HDFS
content explorer enables administrators to browse the tables that
were prepared and added to HDFS. Tables that are already prepared
for analytics can be added to HDFS directly. Once stored in HDFS,
tables can be loaded into memory in a server instance from the HDFS
content explorer. Because SAS uses a special file format for the data
that is stored in HDFS, the HDFS content explorer also provides information
about the columns and row count for the prepared data.
Resource and process
monitors are provided so that administrators can view real-time statistics
and visualizations of resource use like central processing unit (CPU)
utilization, memory utilization, and input/output (
I/O) rates. A line
plot of resource utilization against time is provided. In addition,
a real-time view creates a visualization for each blade that is used
in the cluster and each CPU on a blade.
Controlling access by
mobile devices to data is enabled with the mobile device administration
user interface. This enables administrators to easily manage access
to data through SAS Visual Analytics applications by mobile devices.
Information about the mobile devices in your organization is available
to administrators. The information includes user ID, device information,
and timestamp of last access.