Data Visualization Training in Milan

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 Milan (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 Milan (online or onsite) is designed for intermediate-level system administrators and monitoring professionals who wish to effectively use Grafana for setting up monitoring solutions, managing dashboards, and creating alerts.

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

• Understand the difference between observability and monitoring.
• Install and set up the Grafana server.
• Configure and connect various data sources such as Prometheus, InfluxDB, and ElasticSearch.
• Create, manage, and customize dashboards and charts.
• Use variables and queries to create dynamic dashboards.
• Set up notifications and alerts through Grafana.
• Install and manage plugins to extend Grafana’s functionality.

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

Upon completing this training, participants will be able to:

• Design Prometheus and Grafana architectures for large-scale and distributed environments.
• Enhance Prometheus performance for high-traffic systems.
• Configure Grafana to handle large datasets and complex visualizations.
• Apply advanced troubleshooting and scalability strategies.

This instructor-led, live training in Milan (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 Milan (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 Milan (online or onsite) is aimed at advanced-level DevOps and SRE professionals who wish to enhance their alerting and automation skills with Grafana and Prometheus.

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

• Create and manage advanced alerting rules in Prometheus.
• Integrate Prometheus Alertmanager with external tools using webhooks.
• Automate responses to alerts for faster issue resolution.
• Use Grafana to visualize and manage alerts effectively.

This instructor-led, live training in Milan (online or on-site) targets intermediate cloud and DevOps engineers seeking to enhance cloud observability through 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 Milan (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 Milan (online or onsite) is designed for beginner-level system administrators and DevOps engineers who wish to develop core monitoring skills using Grafana and Prometheus.

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

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

This instructor-led live training, delivered Milan (online or onsite), is designed for beginner-level data scientists who want to learn how to create meaningful and visually appealing data visualizations.

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

• Configure and navigate Google Colab for data visualization tasks.
• Generate diverse plot types using Matplotlib.
• Employ Seaborn for advanced visualization strategies.
• Tailor plots to enhance presentation quality and clarity.
• Interpret and communicate data insights effectively through visual tools.

This instructor-led, live training in Milan (online or onsite) 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 the real-time searching, analysis, and visualization of log data collected from various sources.

This instructor-led training, available both online and onsite, is designed for intermediate-level IT professionals aiming to expand their ELK expertise. Participants will learn to manage distributed log data, automate alert systems, and develop sophisticated visualizations and dashboards.

Upon completing this course, participants will be equipped to:

• Set up complex ingestion and parsing workflows from diverse sources, including databases.
• Build tailored Kibana dashboards to meet the specific needs of different teams or use cases.
• Deploy email notifications and establish condition-based alerting mechanisms.
• Leverage regular expressions to enhance the accuracy of log searches.
• Administer user roles and access permissions to ensure secure log environments.
• Utilize the Elasticsearch REST API for automation and system integration.

Course Format

• Interactive lectures paired with discussions.
• Extensive exercises and practical practice sessions.
• Hands-on implementation within a live laboratory environment.

Customization Options

• For those interested in a tailored training experience for this course, please get in touch with us to arrange your requirements.

This instructor-led, live training in Milan (online or onsite) is designed for intermediate-level administrators and developers who wish to enhance their understanding of Elasticsearch administration. The curriculum includes advanced techniques for developing dashboards in Kibana, as well as system maintenance.

By the conclusion 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 decision-making processes.

This instructor-led live training, available online or onsite, is designed for intermediate-level professionals who want to effectively manage, analyze, and visualize data to enhance performance and support decision-making.

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.
• Use statistical techniques to inform decisions and analyze trends.

Format of the Course

• Interactive lecture and discussion.
• Extensive 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 Milan (online or onsite) is designed for intermediate-level data analysts looking to master and apply the advanced features and components of Grafana for data visualization and analysis.

Upon completing this training, participants will be able to:

• Acquire a deep understanding of advanced Grafana concepts and components.
• Utilize template variables and dynamic dashboards to enhance data visualization.
• Employ Grafana Query Language to execute complex queries.
• Adopt best practices for scaling Grafana, optimizing performance, and ensuring high availability.

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

The session begins with an overview of ELK architecture and functionality, progressing to practical lab implementation and application. Hands-on exercises are a key component, allowing participants to apply their knowledge in real-time while receiving constructive feedback on their performance.

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

Upon completion of this training, participants will be capable of:

• Establishing the necessary development environment to begin creating visualizations in Grafana.
• Configuring Grafana for high availability.
• Customizing panels and dashboards using specific data sets.
• Setting up a reverse proxy to ensure rapid loading speeds.

Discover how to Retrieve & Transform Data to Build Engaging Dashboards

Power BI stands out as one of the leading tools for Data Visualization and Business Intelligence. It encompasses a suite of data connectors, applications, and software services designed to extract information from various sources, transform it, and generate visually appealing reports.

Additionally, Power BI enables you to share these insights across your organization, allowing access via mobile devices, tablets, and more. In this Power BI Tutorial, we guide you through a comprehensive, step-by-step process to connect with diverse data sources, perform data transformations, and create dynamic reports featuring charts, tables, matrices, maps, and other elements.

In this instructor-led live training at Milan (onsite or remote), participants will learn how to use Microsoft Power BI to analyze and visualize data using a series of sample data sets.

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

• Create visually compelling dashboards that provide valuable insights into data.
• Obtain and integrate data from multiple data sources.
• Build and share visualizations with team members.
• Adjust data with Power BI Desktop.

This instructor-led, live training in Milan (online or onsite) is designed for developers who wish to use 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 intensive 4-day course is designed for Tableau beginners. Participants will become proficient in all Tableau functionalities and master the art of creating and sharing data visualizations. The curriculum guides you through every essential step: connecting to data, developing calculations, selecting appropriate chart types, constructing dashboards, and publishing your final work.

The course structure combines topic-specific lectures with practical exercises. It concludes with a 30-minute knowledge assessment and a 60-minute project assignment.

Key Learning Outcomes:

• Navigate the Tableau interface with confidence.
• Connect to and manipulate your data effectively.
• Utilize core Tableau features.
• Construct insightful visualizations.
• Share your insights with a wider audience.

Course Delivery Format:

• Interactive lectures and group discussions.
• Extensive exercises and practice sessions.
• Hands-on implementation in a live laboratory environment.
• Final knowledge test and practical project assessment.