Cloud Services for Event-Driven Architectures (EDAs)
The combination of Apache Kafka and Kubernetes helps developers create EDAs and real-time data pipelines that stream and integrate data between
The combination of Apache Kafka and Kubernetes helps developers create EDAs and real-time data pipelines that stream and integrate data between
A Data Mesh approach removes the bottlenecks that come with the traditional data warehousing and data lake models, and in doing so, allows companies to drive …
Data fabrics ensure organizational-wide and on-demand access to data sets needed for efficient operations and digital transformation.
Adopting AsyncAPI or other real-time API standards will be highly valuable to ensure apps can handle real-world events and drive digital
The logical data fabric is a vision of a unified data delivery platform that abstracts access to multiple data systems by hiding complexity and exposing data …
As the need for real-time data expands, organizations will need to operate all three of these meshes at internet scale with enterprise-grade capabilities.
A semantic layer lets organizations connect data warehouses, data lakes, and data lakehouses to an existing data ecosystem to ensure their continued relevance …
In any application modernization project, businesses that choose to add CDC to their plans from the beginning will reap the rewards, again and again, as they …
AI and ML applications need unified quality data from multiple silos and diverse formats that multiple workgroups can easily and securely
Lack of automation and data security challenges are impeding the flow of enterprise information, known as the data supply