Processing Engine
Run programs, workflows and models in development and production
Build applications using mixed programming languages
The Processing Engine handles programs, workflows and models that combine the languages of SAS, SQL, Python and R. The built-in SAS language compiler runs SAS and SQL code and transparently uses Python and R compilers where necessary to run Python and R code and exchange pandas and R data frame data
- Data access
- Dataset options
- DATA step statements
- Formats and informats
- Global statements
- Macros
- ODS
- Procedures
- System options
- Logs
- Datasets
- Text files (CSV, etc)
- Listing output
- HTML output
- PDF output
- Tables
- Graphs & charts
Fully integrated SAS language compiler
WPS Analytics does not require third party technology to process applications containing SAS code. The SAS language compiler built into the Processing Engine supports SAS language syntax
Accessing data
The Processing Engine works with many data sources, including Hadoop, data warehouses, databases, SAS, SPSS, Excel, CSV and other file-based data formats and spreadsheets, with no limits on data volumes
Making use of the Processing Engine
Use the Workbench with local or remote Processing Engines
The Workbench can connect to Processing Engines installed both locally on the same computer or on remote servers and cloud platforms
Run from a command line or in batch mode
Processing Engines installed on servers, clouds and mainframes have an integral command line interface (CLI) that can be used to run programs and models
Connect via the Hub API
Build a bespoke web interface or use programmatic calls from C++, C#, Java, .Net and other languages, to connect with our Hub technology to use a Processing Engine to run centrally stored programs and models on-demand or in real-time
Lift SAS language support into Jupyter Notebooks
The WPS Analytics Jupyter Kernel uses a Processing Engine to enable SAS language coding in Jupyter Notebooks with syntax highlighting
