In the past, building and running a data warehouse was complicated and expensive.  If you are new to AWS, you can accelerate your time to insights by using Cloud Data Warehousing solutions to combine data from disparate sources and harness the full power of your data securely at scale to store, query, report, analyze, and visualize business data.

AWS Services

Purpose-built cloud products

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AWS Solutions

Ready-to-deploy solutions assembling AWS Services, code, and configurations

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  • Scalable Analytics using Apache Druid on AWS

    Scalable Analytics using Apache Druid on AWS is an AWS Solution that helps quickly and efficiently set up, operate, and manage a cost-effective, highly available, resilient, and fault tolerant hosting environment for Apache Druid on AWS.

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Guidance

Prescriptive architectural diagrams, sample code, and technical content

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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.
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