Data Visualization Training in Plovdiv

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 Plovdiv (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 Plovdiv (online or onsite) is aimed at 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 Plovdiv (online or onsite) is designed for advanced-level DevOps engineers and SREs who seek to effectively manage and scale Prometheus and Grafana in large-scale 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 for large datasets and complex visualizations.
• Implement advanced troubleshooting and scalability strategies.

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

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

• Creating and administering advanced alerting rules in Prometheus.
• Integrating Prometheus Alertmanager with external tools via webhooks.
• Automating alert responses to expedite issue resolution.
• Leveraging Grafana for effective visualization and management of alerts.

This instructor-led live training in Plovdiv (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 live, instructor-led training Plovdiv (available online or onsite) is tailored for intermediate-level DevOps and SRE professionals seeking to create impactful dashboards and optimize their monitoring workflows using Grafana and Prometheus.

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

• Apply best practices for designing effective dashboards.
• Create and configure sophisticated Grafana dashboard components.
• Utilize Grafana templating to build dynamic and reusable dashboard structures.
• Deploy alerting mechanisms to improve operational awareness.

This instructor-led, live training in Plovdiv (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 Plovdiv (online or onsite) is aimed at beginner-level data scientists who wish to learn how to create meaningful and visually appealing data visualizations.

By the end 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 Plovdiv (online or onsite) targets beginner-level IT professionals and DevOps practitioners eager 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 aggregated from diverse sources.

This instructor-led live training, available either online or onsite, is designed for intermediate IT professionals aiming to enhance their ELK proficiency. The curriculum focuses on managing distributed log data, automating alert mechanisms, and developing sophisticated visualizations and dashboards.

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

• Configuring complex ingestion and parsing workflows for various sources, including databases.
• Designing tailored Kibana dashboards to meet the specific needs of different teams or use cases.
• Implementing condition-based alerts and email notification systems.
• Leveraging regular expressions to enhance the precision of log searches.
• Managing user roles and access permissions to ensure secure log environments.
• Utilizing the Elasticsearch REST API to facilitate automation and integration.

Course Format

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

Customization Options

• For bespoke training requests, please contact us to discuss arrangements.

This instructor-led, live training Plovdiv (online or onsite) is designed for intermediate-level administrators and developers aiming to deepen their expertise in Elasticsearch administration. Key areas include advanced dashboard development in Kibana and systematic system maintenance.

By the end of this session, attendees 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 examining, cleaning, transforming, and modeling data to uncover valuable insights, draw conclusions, and support decision-making.

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 Plovdiv (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 Plovdiv (online or on-site) is designed for 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 real-time interactive dashboards 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 Plovdiv is designed for system administrators who wish to deploy an ELK stack (Elasticsearch, Logstash, and Kibana). Please note that a minimum of three participants is required for the course to proceed.

The training begins with an overview of ELK architecture and functionality, then transitions into live lab implementation and practice. Hands-on exercises are a vital part of the curriculum, providing participants the opportunity to apply their knowledge while receiving feedback on their progress.

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

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

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

Master the art of acquiring and transforming data to build engaging, interactive dashboards.

Power BI stands out as one of the leading tools for data visualization and business intelligence. It comprises a suite of data connectors, applications, and software services designed to extract data from various sources, transform it, and generate visually compelling reports.

Furthermore, Power BI enables you to publish these reports within your organization, allowing seamless access across mobile devices, tablets, and other platforms. This Power BI tutorial provides a comprehensive, step-by-step guide to connecting with diverse data sources, performing data transformations, and creating rich visualizations such as charts, tables, matrices, and maps.

In this instructor-led live training in Plovdiv (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 Plovdiv (online or onsite) is aimed at 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 engaging four-day course is tailored for Tableau beginners. Participants will gain comprehensive familiarity with all Tableau capabilities and learn the essential skills for creating and sharing data visualizations. The curriculum guides learners through every critical step, including connecting to data sources, developing calculations, selecting appropriate chart types, constructing dashboards, and publishing the final results.

The training is structured into thematic lectures followed by practical application exercises. The course concludes with a 30-minute knowledge test and a 60-minute project assignment.

Key learning outcomes:

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

Course Format:

• Interactive lectures and discussions.
• Extensive hands-on exercises.
• Live-lab implementation activities.
• Final knowledge assessment and practical project.