Data Visualization Training in Utrecht

Grafana and Prometheus are industry-standard tools used to monitor, visualize, and alert on IT infrastructure and application metrics through real-time dashboards and integrations.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level IT professionals who wish to integrate Grafana with Prometheus and multiple data sources, and build actionable visualizations and alerts across distributed systems.

By the end of this training, participants will be able to:

• Install and configure Grafana and Prometheus in production-ready setups.
• Integrate multiple data sources including SQL, Elasticsearch, InfluxDB, and cloud APIs.
• Create advanced dashboards with variables, templating, transformations, and alerts.
• Apply best practices in data modeling, performance tuning, and user access control.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

This instructor-led, live training in Utrecht (online or onsite) is aimed at intermediate-level Grafana users who wish to build interactive, drill-down dashboards with dynamic thresholds and contextual updates.

By the end of this training, participants will be able to:

• Create dashboards that respond to user interactions, such as clicking a graph bar
• Implement visual drill-downs that update in-place (without new tabs)
• Configure pie charts and detailed panels based on selection filters
• Use dynamic thresholds that react to user input and real-time data

This instructor-led live training in Utrecht (online or onsite) is designed for intermediate-level system administrators and monitoring professionals who want to effectively utilize Grafana for setting up monitoring solutions, managing dashboards, and creating alerts.

By the end of this training, participants will be able to:

• Differentiate between observability and monitoring
• Install and configure the Grafana server
• Configure and connect diverse data sources like Prometheus, InfluxDB, and ElasticSearch
• Create, manage, and customize dashboards and charts
• Leverage variables and queries to build dynamic dashboards
• Establish notifications and alerts via Grafana
• Install and manage plugins to expand Grafana’s capabilities

This instructor-led, live training in Utrecht (online or onsite) is designed for advanced DevOps engineers and SREs who aim to effectively manage and scale Prometheus and Grafana across large environments.

Upon completion of this training, participants will be able to:

• Architect Prometheus and Grafana for large-scale and distributed environments.
• Optimize Prometheus performance for high-traffic systems.
• Configure Grafana to manage large datasets and complex visualizations.
• Implement advanced troubleshooting and scalability strategies.

This instructor-led, live training in Utrecht (online or onsite) is aimed at intermediate-level developers and DevOps engineers who wish to instrument their applications to export and monitor custom metrics effectively using Prometheus and Grafana.

By the end of this training, participants will be able to:

• Understand the importance of custom metrics for application monitoring.
• Instrument applications to export custom metrics for Prometheus.
• Create and configure dashboards in Grafana to visualize custom metrics.
• Apply best practices for integrating monitoring into the development lifecycle.

This instructor-led, live training in Utrecht (online or onsite) is aimed at advanced-level Kubernetes administrators and DevOps engineers who wish to enhance their monitoring skills for Kubernetes clusters using Prometheus and Grafana.

By the end of this training, participants will be able to:

• Set up Prometheus and Grafana for Kubernetes monitoring.
• Monitor key metrics for pods, nodes, and services.
• Create dynamic dashboards to visualize cluster health and performance.
• Implement alerting strategies for proactive issue resolution.
• Apply best practices for scaling monitoring solutions in Kubernetes environments.

This instructor-led, live training in Utrecht (online or onsite) is designed for advanced-level DevOps and SRE professionals aiming to enhance their alerting and automation skills with Grafana and Prometheus.

Upon completion of this training, participants will be able to:

• Create and manage advanced alerting rules in Prometheus.
• Integrate Prometheus Alertmanager with external tools via webhooks.
• Automate responses to alerts to accelerate issue resolution.
• Utilize Grafana to visualize and manage alerts effectively.

This instructor-led, live training in Utrecht (online or onsite) is aimed at intermediate-level cloud and DevOps engineers who wish to enhance cloud observability with Grafana and Prometheus.

By the end of this training, participants will be able to:

• Understand the benefits of integrating Grafana and Prometheus with cloud platforms.
• Set up Prometheus for monitoring cloud-based resources.
• Configure Grafana for visualizing cloud service metrics.
• Leverage cloud-native tools and integrations for monitoring scalability.

This instructor-led live training in Utrecht (online or onsite) is aimed at intermediate-level DevOps and SRE professionals who wish to create impactful dashboards and optimize their monitoring practices using Grafana and Prometheus.

By the end of this training, participants will be able to:

• Understand best practices for designing effective dashboards.
• Create and configure advanced Grafana dashboard elements.
• Leverage Grafana templating for dynamic and reusable dashboards.
• Implement alerting mechanisms to enhance operational awareness.

This instructor-led live training in Utrecht (online or onsite) is aimed at beginner-level system administrators and DevOps engineers who wish to develop core monitoring skills using Grafana and Prometheus.

By the end of this training, participants will be able to:

• Understand the purpose and importance of monitoring in IT environments.
• Install and configure Grafana and Prometheus for basic monitoring tasks.
• Create simple dashboards and alerts to visualize system performance.
• Apply best practices for monitoring system availability and performance.

This instructor-led, live training in Utrecht (online or onsite) targets beginner-level data scientists who want to learn how to craft meaningful and aesthetically pleasing data visualizations.

By the conclusion of this training, participants will be able to:

• Set up and navigate Google Colab for data visualization.
• Create various types of plots using Matplotlib.
• Utilize Seaborn for advanced visualization techniques.
• Customize plots for better presentation and clarity.
• Interpret and present data effectively using visual tools.

This instructor-led, live training in Utrecht (online or on-site) is designed for beginner-level IT professionals and DevOps practitioners who wish to learn the basics of Grafana and Prometheus.

By the end of this training, participants will be able to:

• Understand the purpose and key features of Grafana and Prometheus.
• Install and configure Grafana and Prometheus on a Linux environment.
• Set up basic data sources and dashboards in Grafana.
• Monitor system metrics and visualize data using Prometheus.

The Elastic Stack (ELK) serves as a robust platform for real-time searching, analyzing, and visualizing log data collected from diverse sources.

This instructor-led live training, available online or onsite, is designed for IT professionals at an intermediate level who aim to expand their ELK expertise. The course focuses on managing distributed log data, automating alert mechanisms, and developing sophisticated visualizations and dashboards.

Upon completing this training, participants will be able to:

• Configure advanced ingestion and parsing workflows from various sources, including databases.
• Develop tailored Kibana dashboards suited for specific teams or use cases.
• Implement email notifications and set up condition-based alerts.
• Utilize regular expressions to enhance search precision within logs.
• Manage user roles and access rights to ensure secure log environments.
• Interact with the Elasticsearch REST API to facilitate automation and integration.

Format of the Course

• Interactive lectures and discussions.
• Extensive exercises and practical practice.
• Hands-on implementation within a live-lab environment.

Course Customization Options

• For customized training requests, please contact us to arrange your specific needs.

This instructor-led, live training in Utrecht (online or onsite) is designed for intermediate-level administrators and developers looking to deepen their knowledge of Elasticsearch administration. The course includes advanced techniques for dashboard development in Kibana as well as system maintenance.

By the end of this training, participants will be able to:

• Set up and configure Elasticsearch and Kibana environments for advanced administration and dashboard development.
• Create and manage Elasticsearch indices, mappings, and data models.
• Develop advanced queries and filters to extract valuable insights from Elasticsearch data.
• Design and build interactive dashboards in Kibana using various visualization types and techniques.
• Implement best practices for Elasticsearch and Kibana administration, optimization, and troubleshooting.

Data analysis involves inspecting, cleaning, transforming, and modeling data to uncover valuable insights, draw conclusions, and support informed decision-making.

This instructor-led live training (available online or on-site) is designed for intermediate-level professionals who want to effectively manage, analyze, and visualize data to enhance performance and support strategic decisions.

By the end of this training, participants will be able to:

• Create and manage databases.
• Apply regression, classification, and basic machine learning models.
• Develop dynamic reports and dashboards using Excel and Power BI.
• Utilize statistical techniques to inform decisions and analyze trends.

Format of the Course

• Interactive lecture and discussion.
• Ample exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request customized training for this course, please contact us to arrange.

This instructor-led live training in Utrecht (online or onsite) is aimed at intermediate-level data analysts who wish to learn and utilize the advanced features and components of Grafana for data visualization and analysis.

By the end of this training, participants will be able to:

• Gain an in-depth understanding of advanced Grafana concepts and components.
• Leverage template variables and dynamic dashboards for enhanced data visualization.
• Use Grafana Query Language for complex queries.
• Learn best practices for scaling Grafana, optimizing performance, and ensuring high availability.

This instructor-led live training in Utrecht (online or onsite) is aimed at data analysts who wish to build analytic applications using Python with Plotly and Dash.

By the end of this training, participants will be able to:

• Set up a real-time interactive dashboard for streaming live updating data.
• Build interactive dashboards using Python for data science solutions.
• Secure interactive dashboards with advanced authentication methods.

This instructor-led, live training in Utrecht is intended for system administrators who aim to configure an ELK stack (Elasticsearch, Logstash, Kibana). Please note that a minimum of 3 participants is required for this course to proceed.

The training initiates with a discussion on ELK architecture and functionality, transitioning into live lab implementation and practice. Practical exercises are a vital part of the curriculum, offering participants the opportunity to apply their learning while obtaining feedback on their development.

This instructor-led, live training in Utrecht (onsite or remote) is designed for data analysts who wish to leverage Grafana for monitoring and visualizing data.

By the end of this training, participants will be able to:

• Configure the necessary development environment to start creating visualizations in Grafana.
• Set up Grafana for high availability.
• Customize panels and dashboards with data.
• Configure a reverse proxy for fast loading speeds.

Master the process of extracting and transforming data to build interactive dashboards.

Power BI stands as one of the leading Data Visualization and Business Intelligence platforms. It comprises a suite of data connectors, applications, and software services designed to retrieve data from various sources, transform that data, and generate visually compelling reports.

Additionally, Power BI enables you to publish your work for organizational use, ensuring accessibility across mobile devices, tablets, and other endpoints. This tutorial provides a comprehensive, step-by-step guide on connecting to diverse data sources, performing data transformations, and creating visual elements such as charts, tables, matrices, and maps.

In this instructor-led live training in Utrecht (onsite or remote), participants will learn how to utilize Microsoft Power BI to analyze and visualize data using a series of sample datasets.

By the conclusion of this training, participants will be capable of:

• Creating visually engaging dashboards that deliver valuable insights into data.
• Acquiring and integrating data from multiple sources.
• Developing and sharing visualizations with team members.
• Modifying data using Power BI Desktop.

This instructor-led live training in Utrecht (online or on-site) is designed for developers who intend to utilize BusinessEvents and ActiveMatrix Service Bus to develop, deploy, and manage event-driven applications.

By the end of this training, participants will be able to:

• Set up the necessary development environment to start developing.
• Build distributed, stateful, rule-based event-processing systems.
• Manage business events data and execute proper business rules.
• Reduce the event response time in large-scale, data driven applications.
• Build applications for fraud detection, track-and-trace, real-time customer offer generation, etc.

This engaging 4-day course is designed for Tableau beginners. Participants will become familiar with all Tableau features and learn how to create and share data visualizations with others. The course guides you through every step, including connecting to data, creating calculations, selecting charts, building dashboards, and publishing your work.

The course is divided into lectures dedicated to each topic, followed by practical exercises. At the end of the course, there will be a 30-minute test and a 60-minute project assignment.

Course milestones:

• Familiarize yourself with the Tableau interface.
• Connect to and work with your data.
• Utilize Tableau features.
• Create insightful visualizations.
• Share your work with a broader audience.

Format of the Course:

• Interactive lectures and discussions.
• Ample exercises and practice opportunities.
• Hands-on implementation in a live-lab environment.
• Knowledge test and hands-on project at the end of the course.