AnalyticsCreator is a metadata-driven design application for data warehouse automation and data product engineering across the Microsoft data stack.
Its Governed Control Model connects business meaning, data structures, transformation rules, dependencies, lineage and technical implementation in one controlled project model. Data teams design the required architecture in AnalyticsCreator, then generate native Microsoft assets from that design.
Generated outputs can include SQL Server objects, SSIS packages, Azure Data Factory pipelines, supported Microsoft Fabric components, deployment artefacts and Power BI semantic models. AnalyticsCreator supports dimensional, 3NF and hybrid modelling approaches together with ingestion, transformations, delta loading, historisation, Slowly Changing Dimensions, snapshots and repeatable data-processing patterns.
Because generated outputs are native Microsoft technology, no AnalyticsCreator runtime is required in production. Organisations retain ownership of the resulting implementation and can integrate generated assets into Git, Azure DevOps and CI/CD workflows.
Lineage, documentation and dependency information remain connected to the design, helping teams understand change impact before regenerating affected assets.
Design Intelligence extends this governed project context into AI-assisted data engineering by providing authorised AI tools and agents with structured access to metadata, lineage, dependencies and design rules.
Typical use cases include enterprise data warehouse development, Microsoft Fabric adoption, SQL Server and SSIS modernisation, governed Power BI delivery and repeatable data product engineering.
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RaimaDB, an embedded time series database that can be used for Edge and IoT devices, can run in-memory. It is a lightweight, secure, and extremely powerful RDBMS. It has been field tested by more than 20 000 developers around the world and has been deployed in excess of 25 000 000 times.
RaimaDB is a high-performance, cross-platform embedded database optimized for mission-critical applications in industries such as IoT and edge computing. Its lightweight design makes it ideal for resource-constrained environments, supporting both in-memory and persistent storage options. RaimaDB offers flexible data modeling, including traditional relational models and direct relationships through network model sets. With ACID-compliant transactions and advanced indexing methods like B+Tree, Hash Table, R-Tree, and AVL-Tree, it ensures data reliability and efficiency. Built for real-time processing, it incorporates multi-version concurrency control (MVCC) and snapshot isolation, making it a robust solution for applications demanding speed and reliability.
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Red Hat Decision Manager
Red Hat® Decision Manager serves as a robust platform for creating containerized microservices and applications designed to automate business decision-making processes. This comprehensive solution features capabilities for managing business rules, processing complex events, and optimizing resources. Organizations have the ability to seamlessly integrate advanced decision-making logic into their line-of-business applications, enabling them to swiftly modify core business rules in response to evolving market conditions. The seventh iteration of Red Hat® Decision Manager stands out as a powerful, scalable open-source business rules management system that harnesses both business resource optimization and complex event processing (CEP) technologies. It empowers organizations to effectively capture intricate business logic while facilitating the development of applications that streamline business decisions. Additionally, Decision Manager 7 is fully compatible with the Red Hat Application Services suite and integrates seamlessly with Red Hat OpenShift® for deployment across hybrid cloud environments, ensuring that businesses can leverage its capabilities no matter where their infrastructure is hosted. This flexibility further enhances its appeal for modern enterprises seeking to optimize their operational efficiency.
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Digital Enterprise Suite
The Digital Enterprise Suite is more than just business modeling. It also offers business automation. The Digital Enterprise Suite is built on an intelligent fabric called Digital Enterprise Graph and accelerates digital transformation, innovation and improvement via visualization, from business discovery to automation. It combines strategy, design, technology, and automation to provide insight and automation for your organization in order to gain competitive advantage.
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