Data Visualization Training in Adelaide

Grafana and Prometheus are industry-standard tools utilised to monitor, visualise, and alert on IT infrastructure and application metrics via real-time dashboards and integrations.

This instructor-led, live training (available online or onsite) is targeted at intermediate to advanced IT professionals seeking to integrate Grafana with Prometheus and various data sources, and to construct actionable visualisations and alerts across distributed systems.

By the conclusion 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 incorporating variables, templating, transformations, and alerts.
• Apply best practices in data modelling, performance tuning, and user access control.

Format of the Course

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

Course Customisation Options

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

This instructor-led, live training in Adelaide (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 Adelaide (online or onsite) is tailored for intermediate-level system administrators and monitoring professionals who aim to effectively leverage Grafana for establishing monitoring solutions, managing dashboards, and configuring alerts.

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

• Grasp the distinction between observability and monitoring.
• Install and configure the Grafana server.
• Configure and connect diverse data sources, including Prometheus, InfluxDB, and ElasticSearch.
• Create, manage, and customize dashboards and visualizations.
• Utilise variables and queries to develop dynamic dashboards.
• Set up notifications and alerts via Grafana.
• Install and manage plugins to extend Grafana’s capabilities.

This instructor-led, live training in Adelaide (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 Adelaide (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 Adelaide (online or onsite) is designed for advanced-level Kubernetes administrators and DevOps engineers looking to enhance their monitoring capabilities for Kubernetes clusters using Prometheus and Grafana.

Upon completion 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 Adelaide (online or onsite) is designed for advanced-level DevOps and SRE professionals looking 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 using webhooks.
• Automate responses to alerts for faster issue resolution.
• Use Grafana to visualize and manage alerts effectively.

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

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

• Grasp the advantages of integrating Grafana and Prometheus with cloud platforms.
• Deploy Prometheus to monitor cloud-based resources.
• Configure Grafana to visualise metrics from cloud services.
• Utilise cloud-native tools and integrations to support scalable monitoring.

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

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

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

This instructor-led, live training in Adelaide (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 visualise data using Prometheus.

The Elastic Stack (ELK) is a robust platform designed for real-time searching, analysis, and visualisation of log data sourced from a variety of origins.

This instructor-led, live training (available online or onsite) is tailored for IT professionals at an intermediate level who wish to deepen their ELK expertise to manage distributed log data, automate alerts, and create advanced visualisations and dashboards.

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

• Configuring advanced ingestion and parsing workflows from multiple sources, including databases.
• Creating customised Kibana dashboards tailored to different teams or use cases.
• Implementing email notifications and condition-based alerts.
• Utilising regular expressions to enhance search precision within logs.
• Managing user roles and access rights to ensure secure log environments.
• Interacting with the Elasticsearch REST API for automation and integration purposes.

Course Format

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

Course Customisation Options

• To request a bespoke training session for this course, please contact us to arrange details.

This instructor-led, live training in Adelaide (online or onsite) is aimed at intermediate-level administrators and developers who wish to deepen their understanding of Elasticsearch administration, including advanced techniques for dashboard development in Kibana, as well as maintenance of the system.

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 the inspection, cleansing, transformation, and modelling of data to uncover meaningful information, 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, analyse, and visualise 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 analyse trends.

Format of the Course

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

Course Customisation Options

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

This instructor-led live training in Adelaide (online or onsite) is aimed at intermediate-level data analysts who wish to learn and utilise 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 Adelaide (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 Adelaide 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 with an examination of ELK architecture and capabilities, before transitioning into live lab implementation and practical application. Practical exercises are a core component of the course, allowing participants to apply their knowledge in real-time while receiving constructive feedback on their progress.

This instructor-led, live training in Adelaide (onsite or remote) is designed for data analysts looking to utilise Grafana for monitoring and visualising data.

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

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

Discover how to Get & Transform Data to create engaging Interactive Dashboards.

Power BI stands as one of the most widely used Data Visualization tools and a leading Business Intelligence solution. It comprises a suite of data connectors, apps, and software services designed to retrieve data from various sources, transform it, and generate visually appealing reports.

Additionally, Power BI enables you to publish these dashboards for your organisation, allowing access via mobile devices, tablets, and other platforms. In this Power BI Tutorial, we guide you through a step-by-step approach to connecting with multiple data sources, performing data transformations, and crafting reports featuring charts, tables, matrices, maps, and more.

In this instructor-led, live training in Adelaide (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 Adelaide (available 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.

Join this engaging 4-day course designed for Tableau beginners. You will become well-versed in all of Tableau’s features and learn how to create and share data visualisations with others. The course will guide you through every step, from connecting to data, creating calculations, choosing the right chart, building the dashboard, to publishing your work.

The course is divided into lectures dedicated to each topic, followed by practical exercises. The course will conclude 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 visualisation.
• 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