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Training & Workshops

Industrial data literacy that has a lasting impact on everyday life.

We offer workshops and training sessions not only on Apache StreamPipes, but also on all topics related to the use of machine data and AI for production improvement.

Three Training Focus Areas

From data streams to well-founded AI ideas.

  1. Apache StreamPipes

    Connect data sources, create pipelines, and put the open platform to practical use.

  2. IoT Data Management

    Structure, harmonize, and store industrial data, and make it available for applications.

  3. AI in Manufacturing

    Evaluate use cases, understand data requirements, and identify realistic next steps.

Example: Two-day intensive program

A workshop that translates theory into practical action.

The agenda outlines a possible structure. The content, level of technical detail, and exercises will be tailored to the target audience, prior knowledge, and the company's context.

Day 1

Understanding and Connecting Industrial Data

01
  • 09:00
    Objectives and Data EnvironmentContext

    Contextualize the initial situation, roles, and typical data sources within your own company's context.

  • 10:30
    Apache StreamPipes BasicsPlatform

    Architecture, core concepts, and the interaction between the adapter, pipeline, storage, and visualization.

  • 13:30
    Hands-on: Setting Up a Data StreamPractice

    Connect a data source, process signals, and create a transparent data flow.

  • 15:30
    Save and Explore DataAnalysis

    Provide time series data and perform initial analyses using charts and dashboards.

Day 2

From a Tool to Your Own Use Case

02
  • 09:00
    Data Model and QualityData Management

    Develop semantics, context, and quality requirements for reusable industrial data.

  • 11:00
    AI in ManufacturingAI

    Discuss suitable AI use cases, data requirements, and limitations using specific examples.

  • 13:30
    My Own Use CaseTransfer

    Structure a relevant business scenario from a technical and subject-matter perspective.

  • 15:30
    Next StepsConclusion

    Document the results and establish a realistic learning or implementation plan.

The format is modular: individual focus areas can also be offered as compact specialized workshops or as in-depth training series.

A Customized Format Instead of a Standard Agenda

This is what knowledge transfer can look like.

We tailor the scope, the proportion of exercises, and the technical depth to the roles within the team and the desired outcome.

01

Compact Specialized Workshop

Build a shared understanding of architecture, data management, or AI, and focus on key decision-making questions.

02

Hands-On with Apache StreamPipes

Put the platform to practical use with sample data or a prepared question of your own.

03

Supportive Enablement

Support teams over the course of several sessions as they develop their own data literacy and apply it to their projects.

Experience in Software and Manufacturing

Taught by people who are familiar with the platform and the practice.

As the initiator and lead developer of Apache StreamPipes, and through our work on industrial data projects, we combine technical depth with clear communication. In collaboration with IHK partners, we also incorporate this knowledge into our offerings for small and medium-sized businesses.

Straight from product development

The architecture, features, and extension points are explained firsthand.

Focused on Production Issues

Exercises and discussions are based on data sources, roles, and decisions from the manufacturing process.

Focused on transfers

Participants leave the training session with a shared vocabulary and specific next steps.

Training

Plan a workshop or training course together

Talk to us about your target group, previous knowledge and subject focus. Together we will plan a suitable training format for your company or organization.

Request training