SAS® Data Engineering
SAS Data Engineering Foundational Offerings
Connectivity. Automation. Governance. Open ecosystem.
Unlock your data's potential and unleash unlimited insights. With our powerful cloud-native tools, you can access, ingest, process and govern your data, achieving better outcomes while democratizing information sharing throughout your business.
| Capabilities Comparison | SAS Data Engineering | SAS Data Engineering Advanced | ||
|---|---|---|---|---|
| Access any data source or cloud platform | ✓ | ✓ | ||
| Ability to deploy & execute models in the data warehouse | ✓ | ✓ | ||
| Embedded data quality across the data pipeline | ✓ | ✓ | ||
| Single IDE for integrating SAS & Python code | ✓ | ✓ | ||
| Powerful low-code flow builder with built-in steps | ✓ | ✓ | ||
| Enable CI/CD with GIT integration | ✓ | ✓ | ||
| Create your own visual flow with custom steps framework | ✓ | ✓ | ||
| Access GitHub repo with community-built custom steps | ✓ | ✓ | ||
| Data catalog with complete visibility across data sources, data flows, visualizations & models | ✓ | ✓ | ||
| Comprehensive data lineage, from source to destination, plus impact on other analytic assets | ✓ | ✓ | ||
| AI-driven data quality suggestions | ✓ | ✓ | ||
| 1800+ prebuilt data quality definitions | ✓ | ✓ | ||
| Data enrichment through integration with ESRI & Loqate API | ✓ | ✓ | ||
| Visualization & reporting | ✓ | ✓ | ||
| Integration with Microsoft 365 | ✓ | ✓ | ||
| Cloud native | ✓ | ✓ | ||
| Business rules management & deployment | ✓ | |||
| Real-time business rules execution | ✓ | |||
SAS Data Engineering Foundational Offerings
Connectivity. Automation. Governance. Open ecosystem.
Unlock your data's potential and unleash unlimited insights. With our powerful cloud-native tools, you can access, ingest, process and govern your data, achieving better outcomes while democratizing information sharing throughout your business.
Get to Know Our Packaged Data Engineering Offerings
SAS Data Engineering
Build robust data pipelines to ingest, transform, govern and serve the highest-quality data, regardless of size or complexity – on-premises or in the cloud.
SAS Data Engineering includes these key offerings:
- 可视化数据分析软件_大数据探索，分析和报告的可视化平台 | SAS发现和探索数据关系并分享洞见。
- SAS Studio Analyst轻松、自助地访问企业和云数据源、数据质量功能和扩展流程设计器。
- SAS Studio Engineer为配置、迁移、同步或其他活动设计可重复使用的高级数据管理流程。
- SAS for Microsoft 365Microsoft 365 与 SAS Viya 相结合，无缝获取分析洞察。
- 数据连接器借助强大的连接性、云数据集成和优化的处理能力，轻松访问您的数据。
- SAS for Data Preparation and Data Quality利用干净、可靠的数据的力量。
- Cloud Data ExchangeEstablish data connections and transfer data securely and efficiently. Cloud Data Exchange for the SAS Viya Platform includes the co-located SAS Data Agent and the remote SAS Data Agent.
- SAS Job Flow Scheduler为配置、迁移、同步或其他活动设计可重复使用的高级数据管理流程。
- SAS 工作负载管理通过对 Kubernetes 群集中的 SAS 工作负载进行优化和优先级排序来扩展 Kubernetes 功能。
- SAS Information Governance实现数据民主化、加强协作并促进合规性。
- SAS 数据库内技术通过在数据库中执行关键数据质量和分析过程来缩短这些过程所需的时间。适用于 Hadoop 云服务、Cloudera 数据平台、Azure Synapse Analytics、Databricks 和 Teradata。
SAS Data Engineering Advanced
Leverage automated decisioning capabilities with an agile approach to data access, preparation, quality and governance to operationalize the end-to-end data workflow.
SAS Data Engineering Advanced includes this key offering:
Plus all the capabilities found in SAS Data Engineering:
- 可视化数据分析软件_大数据探索，分析和报告的可视化平台 | SAS发现和探索数据关系并分享洞见。
- SAS Studio Analyst轻松、自助地访问企业和云数据源、数据质量功能和扩展流程设计器。
- SAS Studio Engineer为配置、迁移、同步或其他活动设计可重复使用的高级数据管理流程。
- SAS for Microsoft 365Microsoft 365 与 SAS Viya 相结合，无缝获取分析洞察。
- 数据连接器借助强大的连接性、云数据集成和优化的处理能力，轻松访问您的数据。
- SAS for Data Preparation and Data Quality利用干净、可靠的数据的力量。
- Cloud Data ExchangeEstablish data connections and transfer data securely and efficiently. Cloud Data Exchange for the SAS Viya Platform includes the co-located SAS Data Agent and the remote SAS Data Agent.
- SAS Job Flow Scheduler为配置、迁移、同步或其他活动设计可重复使用的高级数据管理流程。
- SAS 工作负载管理通过对 Kubernetes 群集中的 SAS 工作负载进行优化和优先级排序来扩展 Kubernetes 功能。
- SAS Information Governance实现数据民主化、加强协作并促进合规性。
- SAS 数据库内技术通过在数据库中执行关键数据质量和分析过程来缩短这些过程所需的时间。适用于 Hadoop 云服务、Cloudera 数据平台、Azure Synapse Analytics、Databricks 和 Teradata。
