June 2022 Summaries

CData Software has announced that its enterprise service bus (ESB) platform, ArcESB, is now rebranded as CData Arc, which continues to grow beyond ESB functionality to enable modern B2B integration on-premises and in the cloud with no code required. The new name aligns with CData's vision for a simple and modern solution to connect, integrate, and automate B2B workflows. CData Arc offers a visual, no-code workflow designer that allows users to easily map and build B2B integrations without specialized skills or lengthy development cycles, and provides extensive connectivity features powered by CData to connect to hundreds of internal and external business applications. The company has also introduced CData Arc Cloud, a cloud-native B2B integration software that simplifies the process of mapping and automating B2B workflows without complex infrastructure, installation, or maintenance, reducing IT bottlenecks and promoting a governable self-service model.

Modern B2B integration technology enables seamless communication and automation between businesses or trading partners, streamlining workflows and meeting security and compliance protocols. With the rise of digital transformation and global operations, organizations demand rapid, reliable, and secure communication, workflow transparency, and agile scalability in their B2B collaborations. Legacy B2B integration systems often lack extensibility, simplicity, and connectivity, stunting business growth. Modern platforms like CData Arc simplify technical work, connect anything, and implement in minutes, providing a solid foundation for businesses to respond quickly to customer demands and partner needs. By automating manual work, simplifying technical barriers, and easily connecting to systems and data sources, modern B2B integration enables organizations to take control of their workflows and achieve digital transformation.

Data mesh is a concept that helps enterprises manage decentralized information by treating data as part of individual teams' "domains" to be managed on a team-by-team basis, reframing how teams answer business questions and organizing data around this approach. It proposes that siloed teams become an advantage by curating and molding data within their domain to share specific datasets with the rest of the organization. Data mesh encourages enterprises to distribute data management roles to those who know the data best, embracing a full cultural shift towards democratized user-defined data workflows supported by technology. By focusing on specific needs and leveraging specific data, both technical and business teams serve the organization with their best skills. The framework is driven by four principles that feed a communal, iterative approach to democratizing data context, including domain ownership, data "products", federal computational governance, and infrastructure management. To successfully implement data mesh, organizations must consider a real-time data connectivity solution, such as data virtualization, which provides direct access to data from multiple sources and supports the distributed model of data mesh.

CData Software offers integrations that allow users to interact with Workday data in their preferred tools and platforms without requiring a heavy lift on IT resources. The company's solutions provide SQL access to Workday data, enabling users to build charts and visualizations without taxing client-side resources. CData's drivers support the Workday Reports-as-a-Service interface, allowing users to visualize and analyze custom reports in visualization and analytics tools of their choice. Additionally, CData helps businesses solve problems related to data management, custom application development, and business intelligence by providing extended connectivity for data governance and unified views of all enterprise data through data warehousing. Through its standards-based connectivity, CData enables any user to work with Workday data exactly where and how they need it, simplifying access to reporting, analytics, and management.