Lambda architecture

Glossary Page

A constructively usable template for conception and Big data application design is Nathan's Marz and James Warren published the lambda Architecture40. The modularization provided for in the architecture corresponds to typical requirements of big data Applications broader and systematized them. In this way, the architecture approach is useful to technical and non-functional requirements for new ones Uncover and assess applications independently of what form and to what extent the Module as technical components of the application will be realized.

https://www.researchgate.net/publication/308871780_Lambda_architecture_for_cost-effective_batch_and_speed_big_data_processing external-link

Latest Webinars

Latest Articles

Blog Post Cover

Bundesliga fans on the move: What Motion Data reveals about football culture

The article explores how T‑Systems’ Motion Data leverages anonymized mobile network information to reveal real‑world fan behavior in the 2024/25 Bundesliga season. It highlights how supporters travel to home and away matches, the demographic composition of stadium audiences, and which clubs attract the largest crowds—including surprising cross‑border dynamics. By transforming assumptions into measurable insights, Motion Data enables clubs, cities, and event organizers to improve mobility planning, enhance stadium operations, and design more targeted fan engagement strategies.

Read more

external-link
Author image

Tino Bliesener

Jan 28, 2026

Blog Post Cover

Flex: Electronic Control Unit (ECU)

Flex partnered with T-Systems to migrate ECU data exchange to Catena-X, enabling secure, multiregional, real-time validation across global production sites. Using T-Systems’ Connect & Integrate solution, Flex achieved end-to-end integration, API and Cofinity-X interface testing, and a fully validated production setup. This scalable dataspace foundation now supports future use cases including Product Carbon Footprint, Certificate Management, Battery Pass, and global traceability, while maintaining full data sovereignty.

Read more

external-link
Author image

Andrea Garcia

Jan 16, 2026

Blog Post Cover

Sovereign connectivity: Automating access in dataspaces

Sovereign connectivity in dataspaces requires automating network access to ensure security, compliance, and operational scale. In the Data Intelligence Hub, we replace manual firewall updates with a declarative, Kubernetes-native model using Custom Resource Definitions (CRDs). Customers define their allowed IP ranges through a self-service portal, which generates an IpAccessPolicy object representing the desired state. A controller then reconciles this state with the underlying infrastructure, automatically updating Kubernetes Ingress configurations and preventing drift. This architecture ensures auditability, validates inputs before enforcement, and keeps network access aligned with the principles of data sovereignty across multi-tenant environments.

Read more

external-link
Author image

Mohamed Radwan

Jan 15, 2026