Data Visualization Training in Maia

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 Maia (online or onsite) targets intermediate system administrators and monitoring professionals aiming to effectively utilize Grafana for setting up monitoring solutions, managing dashboards, and creating alerts.

Upon completion, participants will be capable of:

• Distinguishing between monitoring and observability.
• Installing and configuring the Grafana server.
• Configuring and connecting diverse data sources, including Prometheus, InfluxDB, and ElasticSearch.
• Creating, managing, and customizing dashboards and charts.
• Utilizing variables and queries to build dynamic dashboards.
• Establishing notifications and alerts via Grafana.
• Installing and managing plugins to enhance Grafana’s capabilities.

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

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

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

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

Upon completing this training, participants will be able to:

• Grasp the significance of custom metrics for application monitoring.
• Instrument applications to export custom metrics for Prometheus.
• Build and configure Grafana dashboards to visualise custom metrics.
• Implement best practices for embedding monitoring within the development lifecycle.

This instructor-led, live training in Maia (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 visualise 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 Maia (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 Maia (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 Maia (online or onsite) is designed for intermediate-level DevOps and SRE professionals aiming to create impactful dashboards and optimize their monitoring practices using Grafana and Prometheus.

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

• Grasping best practices for designing effective dashboards.
• Creating and configuring advanced Grafana dashboard components.
• Utilizing Grafana templating to produce dynamic and reusable dashboards.
• Implementing alerting mechanisms to boost operational awareness.

This instructor-led, live training in Maia (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 Maia (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 Maia (online or onsite) is aimed at 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) is a robust platform designed for real-time search, analysis, and visualization of log data gathered from diverse sources.

This instructor-led live training, available online or on-site, targets intermediate IT professionals aiming to enhance their ELK proficiency. The course focuses on managing distributed log data, automating alert systems, and developing sophisticated visualizations and dashboards.

Upon completion, participants will be equipped to:

• Set up advanced ingestion and parsing workflows from various sources, including databases.
• Build tailored Kibana dashboards for specific teams or use cases.
• Deploy email notifications and condition-driven alerts.
• Utilize regular expressions to refine log search accuracy.
• Administer user roles and access permissions to ensure secure log environments.
• Leverage the Elasticsearch REST API for automation and system integration.

Course Format

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

Customization Options

• For tailored training on this course, please contact us to make arrangements.

This instructor-led, live training in Maia (online or onsite) is aimed at beginner to intermediate-level IT professionals who wish to gain the knowledge and practical skills necessary to excel in the administration of Grafana and GLPI.

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

• Create and customize Grafana dashboards with different visualizations.
• Implement alerting and notifications for monitoring.
• Administer user accounts, teams, and permissions.
• Manage IT assets effectively, including hardware and software inventory.
• Implement a helpdesk system for user support and ticket management.

This instructor-led, live training in Maia (online or onsite) is designed for intermediate-level administrators and developers seeking to deepen their expertise in Elasticsearch administration. The curriculum covers advanced techniques for dashboard development in Kibana alongside system maintenance.

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

• Establish and configure Elasticsearch and Kibana environments tailored for advanced administration and dashboard creation.
• Create and administer Elasticsearch indices, mappings, and data models.
• Develop sophisticated queries and filters to extract valuable insights from Elasticsearch data.
• Design and construct interactive dashboards in Kibana employing a variety of visualization types and techniques.
• Apply best practices for the administration, optimization, and troubleshooting of Elasticsearch and Kibana.

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

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

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

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

Course Format

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

Customization Options

• For customized training arrangements, please contact us to discuss your needs.

This instructor-led, live training in Maia (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 Maia (available online or onsite) is designed for data analysts who wish to build analytical applications using Python with Plotly and Dash.

Upon completing this training, participants will be able to:

• Configure a real-time interactive dashboard for streaming live-updating data.
• Create interactive dashboards using Python for data science solutions.
• Secure interactive dashboards through advanced authentication methods.

This course explores human perception and demonstrates how to harness it to deliver impactful insights. Participants will become familiar with design theory, covering Gestalt Laws, pre-attentive attributes, and inclusive design practices. The curriculum clarifies the distinctions and overlaps between exploratory and explanatory analysis. Learners will explore chart usage and develop the skills to select the most appropriate visualizations for specific contexts. By the end of the course, participants will know how to apply design principles to visualizations created using Tableau software.

This instructor-led, live training in Maia is designed for system administrators looking to establish an ELK stack (Elasticsearch, Logstash, Kibana). Please note that a minimum of 3 delegates is required for this course to proceed.

The session begins by exploring the architecture and functionality of the ELK stack, before transitioning into live laboratory implementation and practical application. Practical exercises form a core component of the training, allowing participants to apply their learning and receive feedback on their progress.

This instructor-led, live training in Maia (onsite or remote) is aimed at data analysts who wish to use Grafana for monitoring and visualizing data.

Upon completing this training, participants will be able to:

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

This instructor-led live training, delivered in Maia (online or onsite), is aimed at web developers and DevOps engineers who wish to visualize and monitor data with Grafana and Graphite.

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

• Aggregate and visualize metrics about systems and applications.
• Create a StatsD client for gathering application metrics.
• Build informative and dynamic dashboards with Grafana.
• Gather insights from back-end performance.

Discover how to acquire and transform data to build interactive dashboards.

Power BI stands as one of the most widely adopted data visualization and business intelligence tools. 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 for your organization, allowing access via mobile devices, tablets, and other platforms. In this Power BI tutorial, we guide you through a step-by-step process to connect with multiple data sources, perform data transformations, and create reports featuring charts, tables, matrices, maps, and more.

Microsoft Power BI converts your organizational data into compelling visuals, enabling new perspectives on how you manage and analyze information. This empowers you to concentrate on the key factors driving your objectives. The curriculum addresses both Power BI Online and Power BI Desktop.

Target Audience:

This course is designed for Business Managers, Report Developers, Analysts, Project Managers, and Team Leads.

Learning Outcomes

Upon finishing this course, participants will possess a foundational knowledge of the topics listed below, along with the practical ability to apply the learned concepts.

• Power BI
• Power BI Desktop
• Working with CSV, TXT, and Excel Worksheets
• Connecting to Databases
• Merging, Grouping, Summarizing, and Calculating Data
• Reporting
• Power BI Online

In this instructor-led, live training in Maia (onsite or remotely), participants will learn how to use Microsoft Power BI to analyse and visualise 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 visualisations with team members.
• Adjust data with Power BI Desktop.

This instructor-led, live training in Maia (online or onsite) targets data analysts and data scientists who wish to use Python to build interactive data visualizations directly from the code.

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

• Set up the necessary development environment to start creating data visualizations with Python.
• Understand the data visualization core concepts, use cases, and tools.
• Explore the different libraries (Matplotlib, Seaborn, Bokeh, and Folium) available in Python.
• Learn how to create line plots, statistical graphs, geo-spatial, and other complex data visualizations with Python.
• Know the best practices and techniques for presenting and interpreting data.

Tableau is a leading business intelligence and data visualization platform. Python is a versatile programming language that supports a broad spectrum of statistical and machine learning techniques. By harnessing Tableau's powerful visualization capabilities alongside Python's advanced machine learning functionalities, developers can rapidly construct sophisticated data analytics applications tailored to diverse business requirements.

During this instructor-led live training, participants will learn how to seamlessly integrate Tableau and Python to perform advanced analytics. This integration is facilitated through the TabPy API.

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

• Integrate Tableau and Python using the TabPy API
• Leverage the combined power of Tableau and Python to analyze complex business scenarios with minimal Python code

Audience

• Developers
• Data scientists

Format of the course

• A blend of lectures, discussions, exercises, and extensive hands-on practice

This course is ideal for learners new to Tableau or those needing a refresher. It takes you through the essential steps to build your first visualization from scratch. You will also acquire knowledge on applying key design principles to your Tableau visualizations. By the end of the course, you will be capable of creating and sharing your insights with a broad audience.

This instructor-led live training in Maia (available online or onsite) is tailored for developers who intend to use BusinessEvents and ActiveMatrix Service Bus to develop, deploy, and manage event-driven applications.

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

• Configure the necessary development environment to begin development.
• Construct distributed, stateful, rule-based event-processing systems.
• Manage business events data and execute appropriate business rules.
• Decrease event response times in large-scale, data-driven applications.
• Develop applications for fraud detection, track-and-trace, real-time customer offer generation, and more.

This instructor-led, live training in Maia (online or onsite) is designed for engineers, researchers, and data analysts who wish to leverage TIBCO Statistica features to develop analytic workflows and models.

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

• Install and navigate the TIBCO Statistica application to build and manage data analysis projects.
• Grasp statistical fundamentals to analyse data and derive actionable business insights.
• Investigate advanced subjects related to big data and machine learning using TIBCO Statistica.

This is an engaging 4-day course designed for Tableau beginners. During this training, you will become familiar with all the features of Tableau and learn how to create and share data visualizations with others. The course will guide 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. The course will end with a 30-minute test and a 60-minute project assignment.

Course milestones:

• Get familiar with the Tableau interface.
• Connect to and work with your data.
• Use the Tableau features.
• Build an insightful visualization.
• Share your work with a broader audience.

Format of the Course:

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.
• Knowledge test and hands-on project at the end of the course