Partner Solutions
Software, SaaS, or managed services from AWS Partners
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Total results: 1
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Sisense Business Intelligence
Sisense is a single stack BI and Analytics platform which serves the business user by creating an analytics logic separating the physical location of the data and logical connection between data sources. Sisense's mission is to simply Business Analytics for Complex Data.
Guidance
Prescriptive architectural diagrams, sample code, and technical content
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Total results: 5
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Building a SAP Cloud Data Warehouse on AWS
This Guidance shows how to extract data and business logic from SAP systems to build a data warehouse that integrates the business context and logic embedded within the SAP system. Users can select functional areas such as Order-to-Cash (including customers, sales orders, customer deliveries, and invoices) and Procure-to-Pay (including vendors, purchase orders, good receipts, and vendor invoices). Included are AWS CloudFormation templates that deploy the required data models, translating the technical data architecture into business-friendly terms and relationships. Additionally, this Guidance provides near real-time, simple, and adaptable data pipelines, with incremental change data capture (CDC) processes, conversion rules, and automatic inclusion of custom fields. This comprehensive approach delivers high-quality, contextual data to enable the creation of reports and the performance of advanced analytics with SAP and non-SAP data at speed, supporting data-driven decision making. -
SAP Data Integration and Management on AWS
This Guidance provides the essential data foundation for empowering customers to build data and analytics solutions. It shows how to integrate data from SAP ERP source systems and AWS in real-time or batch mode, with change data capture, using AWS services, SAP products, and AWS Partner Solutions. This Guidance includes an overview reference architecture showing how to ingest SAP systems to AWS in addition to five detailed architectural patterns that complement SAP-supported mechanisms (such as OData, ODP, SLT, and BTP) using AWS services, SAP products, and AWS Partner Solutions. -
Bringing Your Own Machine Learning Models into Amazon…
This Guidance shows how you can bring your own machine learning (ML) models into Amazon SageMaker Canvas and remove the need to manually change your code that is often required when building or moving ML models in new environments.