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AnalyticsCreatorAnalyticsCreator 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.
What is Flosum?
We are excited to present an all-inclusive native release management and version control solution specifically designed for Salesforce that functions seamlessly. This innovative system brings together teams, workflows, and technology to enhance, visualize, and oversee the delivery of business value across your entire Salesforce environment. Acting as a holistic platform, it efficiently manages requirements, governs versions, executes deployments, and conducts regression testing. Developed with a "clicks not code" approach, it enables Salesforce developers to implement changes in components that are often limited by traditional Git-based methods, ensuring alignment within the organization and expediting deployment processes like never before. Tailored for complex DevOps environments, it integrates effortlessly with crucial tools including Git, Jira, Azure DevOps, Selenium, and others that our clients depend upon. This solution allows you to finalize your deployments in minutes rather than the typical hours or days. Our clicks-not-code functionality simplifies all aspects of DevOps, equipping developers with powerful tools they need while accommodating their preferred working styles, ultimately leading to a more streamlined workflow. By adopting this solution, organizations can significantly enhance their development processes, boosting productivity and fostering collaboration among teams, paving the way for innovation and excellence.
What is AWS Developer Tools?
AWS Developer Tools are specifically designed for developers and IT operations professionals involved in DevOps, allowing for rapid and secure software delivery. These tools offer a secure way to store and manage version control for your application's source code, while also enabling automatic building, testing, and deployment to either AWS or a local setup. With AWS CodePipeline, you can construct a detailed software release workflow that integrates these services with third-party tools or opt to connect each service individually with tools you already use. By employing AWS developer tools for Continuous Integration and Continuous Deployment (CI/CD), you can greatly improve your software development and delivery methods. The tools are crafted to seamlessly integrate with AWS, making setup easier for your team and enhancing overall productivity. Additionally, you can outline your application infrastructure using familiar programming languages, which simplifies the development workflow. Furthermore, taking advantage of machine learning and big data analytics can help identify potential issues and offer suggestions based on Amazon's established best practices, thereby creating a more streamlined development ecosystem. As a result, developers can focus more on innovation and less on repetitive tasks, ultimately leading to higher quality software outputs.
Integrations Supported
ACCELQ
AWS CodeCommit
Atlassian Insight
Azure DevOps Server
Checkmarx
GitHub
GitLab
Jira
Integrations Supported
AWS CodePipeline
Amazon Web Services (AWS)
API Availability
API Availability
Pricing Information
Pricing not provided
Free Version
Free Trial Offered?
Pricing Information
Pricing not provided
Supported Platforms
SaaS
Supported Platforms
SaaS
On-Prem
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Online Training
Training Options
Documentation Hub
Webinars
On-Site Training
Company Facts
Organization Name
Flosum
Date Founded
2013
Company Location
United States
Company Website
flosum.com
Company Facts
Organization Name
Amazon
Date Founded
1994
Company Location
United States
Company Website
aws.amazon.com/es/products/developer-tools/
Categories and Features
Categories and Features
Application Development
Not specified
DevOps
Not specified