Altair SLC (formerly WPS Analytics)

Altair SLC (formerly WPS Analytics)
软件描述
Altair SLC runs programs written with SAS language syntax without translation and without licensing other third-party products. Altair SLC is built to handle high levels of throughput and reduces clients’ capital costs and operating expenses.
官方网站
访问软件的官方网站了解更多信息
www.altair.com
什么是 Altair SLC (formerly WPS Analytics)?
Many organizations have developed SAS language programs over the past 20 years that are vital to their operations. IT and analytics managers are also under pressure to reduce costs and find alternatives for handling their SAS language requirements. Altair SLC runs programs written with SAS language syntax without translation and without licensing other third-party products. Altair SLC is built to handle high levels of throughput and reduces clients’ capital costs and operating expenses. Altair SLC handles programs, workflows, and models that combine the SAS language and the SQL, Python, and R languages. Its built-in SAS language compiler runs SQL and SAS language code and utilizes Python and R compilers to run Python and R code and exchange Pandas and R data frames. Working on IBM mainframes and in the cloud, as well as on servers and workstations running a host of operating systems, Altair SLC supports remote job submissions and can exchange data between mainframe, cloud, and on-premises installations. In addition, Altair SLC doesn’t require any third-party middleware to process applications that contain the SAS language. Altair SLC’s built-in SAS language compiler supports SAS language and macro syntax, and includes procedure support for statistics, time series analytics, operational research, machine learning, matrix manipulation, graphing, and output delivery. Additionally, users can use Altair SLC in batch or standalone mode to execute programs and models or use it with Altair Analytics Workbench, a GUI/IDE that provides both no-code (workflow) and code facilities to create, maintain, and execute programs and models and interactively explore their outputs.