Data Streaming

Managing companies in the "now

In today’s digital world, it is no longer enough to study reports from the previous day. To remain competitive, companies need to record and evaluate events in real time and take appropriate measures immediately.

The 3-step transformation process

We accompany you step by step on your way to a comprehensive event streaming architecture with our structured 3-stepstransformationlan, from classic batch processing to fully integrated real-time operation:

Implement streaming infrastructure

Introduction of open source platforms such as Apache Kafka or Redpanda to implement initial real-time use cases.
Direction Arrows
1

Scaling through optimized ETL routes

We modify your architecture for high performance and scalability.
Direction Arrows
2

Event-based processing

Switch from classic ETL tools to stream processing tools such as Apache Flink, Kafka Streams or Spark Streaming to process complex event streams in fractions of a second.
3

Tailor-made solutions for your data challenges

The "Modern Batch" concept

Are you afraid that your Batch systems becoming obsolete? With our “Modern Batch” approach we combine the best of both worlds: We integrate streaming data (e.g. from Kafka) seamlessly into your existing (Pentaho–)ETL processes without losing data or increasing latency.

Industrial IoT (IIoT)

Connect factory halln with the executive floor. We build end-to-end data pipelines with MQTT (HiveMQ/EMQX) and Redpanda, to read machine data via OPC-UA, visualize it in real time and predict failures.

Comprehensive services

Architecture Consulting

Development of modern architectures, both on-premise and in the cloud.

Proof of concept

Validation of use cases to demonstrate the performance of Apache Kafka or Redpanda under real conditions.

Rollout & implementation

Introduction of Kafka or Redpanda in the company.

Individual development

Creation of special connectors or stream processors for specific requirements.