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SAS CAS (Cloud Analytic Services)
What is SAS CAS?
SAS CAS (Cloud Analytic Services) is the modern, scalable in-memoryanalytics-engine from SAS, which specifically for big data and cloudenvironments developed and cloud environments. CAS enables fast, parallel data processing andanalysis in large scope and is a central component of the SAS Viyaplatform. It supports companies in the process, complex data analysis efficiently perform and data-driven decisions to make.
Key features and core aspects of SAS CAS
- In-Memory Processing: CAS processes data completely in the working memory, which enables extremely fast analysis times.
- Scalability: The engine is horizontally scalable and can process large amounts of data in distributed environments.
- Cloud and multi-cloud capability: Optimized for operation in cloud environments such as AWS, Azure or Google Cloud as well as in hybrid architectures.
- Parallel processing: Supports parallel analysis and computing operations to handle complex workloads faster.
- Integration: Seamless connection to various data sources and SAS applications as well as open source technologies such as Python, R and SQL.
- Analytical functions: Provides extensive statistical, machine learning and AI techniques for modern analytics requirements.
- Security & governance: Comprehensive security mechanisms including access control, encryption and audit trails.
Technical basics
SAS CAS is based on a distributed architecture and utilizes cluster technology for processing large data volumes in the memory. The platform supports various APIs (e.g. REST, Python, Lua) that enable flexible integration and automation enable. CAS can both on-premises and also in the cloud operated be.
Advantages and benefits
- Very fast data processing thanks to in-memory technology
- High flexibility thanks to cloud and hybrid deployment options
- Support for modern analytics, AI and machine learning
- Easy integration with existing systems and open source tools
- Scalability for growing data volumes without compromising performance
Areas of application
SAS CAS is in industries such as financial services, retail, Healthcare, manufacturing and telecommunications used in, especially wherewhere large data volumes quickly analyzed analyzed must.
Comparison with SAS 9.x
In contrary to SAS 9.x is SAS CAS cloud-enabledmodular and for distributed in-memoryprocessing optimized. While SAS 9.x traditionally on-premises with monolithic architecture works, offers CAS a modern platform for agile, scalable analyticsprocesses.
Security & Compliance
SAS CAS fulfills high safety standards with comprehensive access controls, data protection functions and compliancesupport for legal requirements such as DSGVO.
Conclusion
SAS CAS is a powerful analytics engine for the modern data world that combines speed, scalability and cloud compatibility. Companies benefit from fast analysis of large volumes of data and integration with innovative technologies.
Would you like to find out more about SAS CAS or would you like advice on implementation? Please contact us for a non-binding discussion!
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