
AnalyticsCreator helps Microsoft data teams turn governed design into deployable data solutions without introducing a proprietary runtime layer.
Teams use AnalyticsCreator to define warehouse structures, transformation logic, historisation rules, relationships and dependencies in a central model. From that model, the application can generate native implementation assets for technologies such as SQL Server, SSIS, Azure Data Factory, Microsoft Fabric and Power BI.
The approach is designed for organisations that want to standardise how data warehouses and data products are engineered while keeping full control of the resulting code and project artefacts. Generated outputs can be integrated into existing Git, Azure DevOps and CI/CD workflows for versioning, review and controlled deployment across environments.
AnalyticsCreator supports dimensional, 3NF and hybrid modelling as well as common engineering patterns including delta loading, Slowly Changing Dimensions, snapshots and historisation. Documentation, lineage and dependency information are maintained alongside the project design, making it easier to assess the impact of proposed changes and keep implementation aligned with the underlying model.
The AnalyticsCreator Governed Control Model provides the foundation for this process by keeping business meaning, technical structures and implementation logic connected. Design Intelligence builds on that context by making governed project metadata, lineage, dependencies and design rules available to authorised AI tools and agents.
Typical use cases include modernising SQL Server and SSIS estates, building Microsoft Fabric solutions, standardising Power BI delivery and creating repeatable data warehouse and data product engineering processes.
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Bright Data stands at the forefront of data acquisition, empowering companies to collect essential structured and unstructured data from countless websites through innovative technology. Our advanced proxy networks facilitate access to complex target sites by allowing for accurate geo-targeting. Additionally, our suite of tools is designed to circumvent challenging target sites, execute SERP-specific data gathering activities, and enhance proxy performance management and optimization. This comprehensive approach ensures that businesses can effectively harness the power of data for their strategic needs.
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Devo
WHY DEVO Devo Data Analytics Platform offers unparalleled transparency through a centralized, cloud-based log management system. Say farewell to compromises and limitations as this next-generation solution empowers operational teams with advanced log management, analytics, and data management capabilities. To enhance visibility, revolutionize your Security Operations Center (SOC), and meet broad business objectives, leveraging machine data is essential. As data volumes continue to surge, you can manage costs effectively without needing any specialized expertise. The days of complex re-architecting are over; Devo scales seamlessly alongside your demands, accommodating even the toughest requirements without the hassle of managing clusters or indexes or facing stringent restrictions. Within moments, you can effortlessly incorporate vast new datasets and provide access to hundreds of additional users. Your team's evolving requirements will be satisfied year after year, and petabyte after petabyte, ensuring sustained support. The solution is a flexible, cloud-native SaaS; traditional lift-and-shift cloud architectures simply fail to meet the performance benchmarks needed today. This innovative platform addresses the challenges of modern data management, paving the way for enhanced operational efficiency and scalable growth.
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Rivery
Rivery's ETL platform streamlines the consolidation, transformation, and management of all internal and external data sources within the cloud for businesses.
Notable Features:
Pre-built Data Models: Rivery offers a comprehensive collection of pre-configured data models that empower data teams to rapidly establish effective data pipelines.
Fully Managed: This platform operates without the need for coding, is auto-scalable, and is designed to be user-friendly, freeing up teams to concentrate on essential tasks instead of backend upkeep.
Multiple Environments: Rivery provides the capability for teams to build and replicate tailored environments suited for individual teams or specific projects.
Reverse ETL: This feature facilitates the automatic transfer of data from cloud warehouses to various business applications, marketing platforms, customer data platforms, and more, enhancing operational efficiency.
Additionally, Rivery's innovative solutions help organizations harness their data more effectively, driving informed decision-making across all departments.
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