Business intelligence systems access data warehouses, data marts, and databases and provide the capability to examine data from historical, current, and predicative viewpoints through a variety of analysis and reports. Properly implemented, SAS can provide greater precision and analysis to decision making.
The challenge is to utilize SAS for accessing data from IBM mainframe systems software and enterprise databases and efficiency analyze and produce real-time reports on a variety of operating systems and devices.
There are two ways to connect an IBM Db2 database from the SAS software platform. The connection can be made using the libname engine or directly to the database using the connect statement in the SQL procedure.
When connecting to the database using the libname engine, SAS automatically translates SAS data access application code to SQL. Translation to SQL means that SAS/ACCESS processes the SAS application code and then generates the appropriate SQL to access the database.
When connecting directly to the database using the connect statement, the explicit SQL pass-through can be used. Explicit SQL pass-through is a mechanism which allows SQL to pass unaltered directly to the database server. Explicit SQL pass-through is useful for adding database-only operations to a SAS application and is accessible using the SQL procedure - proc sql.
Most SAS procedures and data steps use the SAS/ACCESS SQL translation engine.
When the same proc print procedure is executed using SAS/ACCESS against a Db2 database, the request is translated into SQL for processing by Db2.
This is the SQL generated for the proc print statement. Since the ORDER BY option is used in the SELECT statement, the proc sort would not be required.
SAS/ACCESS translation to SQL is used for SAS data access functionality and joining data from multiple data sources. It can be included in a procedure or data step such as proc freq and proc summary. There is application portability with different relational databases.
The explicit SQL pass-through is used when Db2 database processing steps are executed from a SAS application or there is a requirement for a Db2-specific application.
The SAS examples and exercises demonstrate and explain the Add-in for Microsoft Office, utilization of AJAX, and debugging.
The SAS platform complements Apache Hadoop. SAS support for Hadoop is part of a Big Data strategy which includes information management and high performance analytics: grid, in-database and in-memory computing. There is a scarcity of Hadoop tools for developing and managing Hadoop deployments. SAS data and analytics management continues to be developed for integration with Hadoop.The benefits of the SAS platform and Big Data information management promoted by SAS Institute include:
A common issue with SAS is accessing VSAM datasets by reading records with sequential and keyed direct access, adding, updating and erasing records. The INFILE statement options and related automatic variables are required to process VSAM datasets and utilize the return code of each type of I/O operation. With VSAM sequential access is sequential in SAS, this code is the same as for a QSAM flat file.
SAS also can be used to access VSAM dataset directly. It is important to verify the return code to which the feedback is assigned. It also is a requirement to initialize the variable for the return code and the automatic variable _ERROR_ to zero. The return code is assigned after the INPUT statement is executed.
Infile KSDSFILE Key=id FDBK=retcode ;
Guidelines are provided for using SAS software in hybrid operating environments to generate web-based query and reporting.
SAS software is a registered trademark of SAS Institute.
Db2 is a registered trademark of IBM Corporation.