Services / Real-time data streaming
Work with data as it arrives.
Explore the continuous flow of information from the systems your business relies on.
Discuss your prioritiesExplore the continuous flow of information from the systems your business relies on.
Understand the event flow
Streaming data is generated continuously by different sources. Processing, storing and analyzing that information as events arrive can support time-sensitive analytics.
Connect the technical and business questions
Identify where the events originate, how quickly information is needed and who will act on it. Those questions belong alongside the choice of stream-processing technologies.
Fit the wider platform
Streaming is one part of Dignitas’s consulting work, alongside big data analytics, integration, architecture and migration. A conversation can establish which pieces are relevant to the workload.
What to discuss
- Event sources and formats
- Latency and downstream consumers
- Storage, processing and analytics requirements
Before the first conversation.
What is a useful starting point?
A description of your data sources, the people who use them and the question the platform should help answer. Avoid sharing confidential datasets in an initial inquiry.
How are scope and timing confirmed?
Discuss the requirements directly with Dignitas. This preview does not offer a fixed package, delivery guarantee or price.