ALTAIR SLC™: ACCESS DATA AND RUN PROGRAMS IN DEVELOPMENT AND PRODUCTION
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Are SAS Language Programs Mission Critical for Your Business?
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. |
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Multi Language, Multi-Platform Solution
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, COTS, 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. Feature-Rich SAS Language Support 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. |
UTILIZE PYTHON & R COMPILERS REDUCE CAPITAL COSTS REDUCE OPERATING EXPENSES |
Migrate to Altair SLC in Five Simple Steps
Altair offers services for migration projects with customers ranging in size from startups to global enterprises.
Step 1: System Analysis - The team must gain an understanding of how all the components in the current system work together, including computing platforms, applications, the number of systems to consider, and the data itself.
Step 2: Code Analysis - Altair’s code analysis tools examine the syntax used in existing applications and generate reports without executing your SAS language programs or accessing your data sources. Our tools can analyze thousands of SAS language programs containing millions of lines of code in just a few minutes.
Step 3: Migration Planning - This includes an inventory of business requirements, known gaps, current documentation, servers, applications, instances, databases, and code. The team may also recommend further analysis at this stage depending on project specifications.
Step 4: Pilot Project - This is a small-scale implementation to prove the migration’s viability and develop a rollout timeline.
Step 5: Roll Out - The last step puts everything together without interrupting any important processes, including personnel training, the go-live, and retiring assets that are no longer needed.
Steps one through four typically take six weeks, and step five’s length depends on the outcome, insights, and sizing of the first four.
Altair offers services for migration projects with customers ranging in size from startups to global enterprises.
Step 1: System Analysis - The team must gain an understanding of how all the components in the current system work together, including computing platforms, applications, the number of systems to consider, and the data itself.
Step 2: Code Analysis - Altair’s code analysis tools examine the syntax used in existing applications and generate reports without executing your SAS language programs or accessing your data sources. Our tools can analyze thousands of SAS language programs containing millions of lines of code in just a few minutes.
Step 3: Migration Planning - This includes an inventory of business requirements, known gaps, current documentation, servers, applications, instances, databases, and code. The team may also recommend further analysis at this stage depending on project specifications.
Step 4: Pilot Project - This is a small-scale implementation to prove the migration’s viability and develop a rollout timeline.
Step 5: Roll Out - The last step puts everything together without interrupting any important processes, including personnel training, the go-live, and retiring assets that are no longer needed.
Steps one through four typically take six weeks, and step five’s length depends on the outcome, insights, and sizing of the first four.
Altair Data Analytics and AI Software
In Addition to Altair SLC, Altair Data Analytics and AI Software products provide a comprehensive range of code-free data analytics tools designed for business users of all sizes.
Data Preparation: Access, cleanse, and format data from a wide variety of sources (including Excel, CSV, PDF, TXT, JSON, XML, HTML, SQL databases, Big Data like Hadoop, and more) without any manual data entry or coding.
Artificial Intelligence and Machine Learning: Our industry-leading visual approach to analytic modeling minimizes repetitive tasks, shares knowledge across enterprises, and reuses steps within connected model workflows for faster analysis and shared insight.
Stream Processing and Data Visualization: Connect directly to streamed sensor data from MQTT, Kafka, Solace, and other message queues and build complex stream processing applications with a simple drag-and-drop interface. Build and publish sophisticated real-time dashboards without writing any code. Solve difficult problems quickly, understand complex relationships in seconds, and identify issues that require further investigation with just a few clicks.
In Addition to Altair SLC, Altair Data Analytics and AI Software products provide a comprehensive range of code-free data analytics tools designed for business users of all sizes.
Data Preparation: Access, cleanse, and format data from a wide variety of sources (including Excel, CSV, PDF, TXT, JSON, XML, HTML, SQL databases, Big Data like Hadoop, and more) without any manual data entry or coding.
Artificial Intelligence and Machine Learning: Our industry-leading visual approach to analytic modeling minimizes repetitive tasks, shares knowledge across enterprises, and reuses steps within connected model workflows for faster analysis and shared insight.
Stream Processing and Data Visualization: Connect directly to streamed sensor data from MQTT, Kafka, Solace, and other message queues and build complex stream processing applications with a simple drag-and-drop interface. Build and publish sophisticated real-time dashboards without writing any code. Solve difficult problems quickly, understand complex relationships in seconds, and identify issues that require further investigation with just a few clicks.
For more information please enter your name and email into the form at the top of the page and one of our representatives will reach out to you within 24 hours.