Processing Engine

Run programs, workflows, and models in development and production.

Fabricantes: World Programming
Category: Produtividade
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What is Processing Engine?

Run programs, workflows, and models in development and production.

Linking the WPS Analytics platform

The WPS Analytics processing engine accesses data, runs workflows, programs, and templates, and supports a variety of user interfaces and APIs.

Build applications using mixed programming languages

Processing Engine handles programs, workflows, and models that combine SAS, SQL, Python, and R languages.

Data Access Dataset Options Data Step Instructions Formats and Information Global Instructions Macros Procedures ODS System Options.

Records Datasets Text Files (CSV) Listing output HTML Output OUTPUT PDF Charts tables and tables.

Fully integrated SAS language compiler

WPS Analytics does not require third-party technology to process applications that contain SAS code. The SAS language compiler integrated with Processing Engine supports SAS language syntax.

Accessing data

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 to data volumes.

Using the Processing Engine

Use Workbench with local or remote processing mechanisms

Workbench can connect to Processing Engines installed 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 templates

Connect through the Hub API

Create a tailored web interface or use programmatic calls from C++, C#, Java, .Net, and other languages to connect to our Hub technology and use a Processing Engine to run centrally stored programs and models on demand or in real time

Lift SAS language support on Jupyter notebooks

THE WPS Analytics Jupyter Kernel uses a processing engine to enable SAS language encoding in Jupyter Notebooks with syntax highlighting

System requirements:

CPU: 1.8 GHz dual core processor

RAM: 2 GB

HDD / SSD: 50 GB of free space on the main drive

Operating system: Microsoft Windows 8 32-bit, Microsoft Windows 7 32-bit and Microsoft Windows Vista 32-bit

Resolution: 1024×768

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