Kibana Expert: Master Data Visualization

Master data views, the bridge between Elasticsearch and Kibana, formerly called index patterns. Create and configure data views, select indexes with an asterisk, and set a date field for discover.

Explore data in Kibana Discover to search in real time, filter and inspect documents, and visualize trends using data views, period selectors, and interactive histograms.

Master the Kibana query language (kql) to search for values, filter documents with precision, and combine conditions using and, or, and not, including wildcard searches and field-wide queries.

Master kibana query language (kql) to build complex queries with not and or, nested fields like product price, and field existence, applied to logs, geoip, and vip customers.

Explore how to create, edit, and combine Kibana filters with kql, using operators like is not and between to refine flight data by destination city and plane ticket price.

Create and save complex Kibana searches to reuse in visualizations and dashboards, share with colleagues, and tailor a VIP customers view showing orders over 100 with product details and geolocation.

Master Kibana Lens to transform data into bar charts, revealing revenue by category from the e-commerce sample data, using drag-and-drop, automatic suggestions, and customizable axes, colors, and labels.

Create line charts to visualize revenue evolution over time, then build area charts for daily orders with gender breakdown, and finish with a pie chart of revenue by category.

Build metric and table visualizations in Kibana Lens to show total revenue, per-customer orders, and average spending, focusing on the top ten customers, saved with an ecom tag.

Explore geographic maps in Kibana to visualize e-commerce data, using point, heat, and choropleth layers. Create and customize tooltips, icons, colors by value, and add maps to libraries and dashboards.

Build heat maps to reveal geographic concentration of orders with blue to red colors, using the sum of taxable total price, and save choropleth layers of revenue by country.

Mark events on temporal charts with annotations and display thresholds with reference lines to contextualize dashboards. Use static or query-based annotations and set objective lines with color and tooltips.

Create and customize interactive Kibana dashboards by adding visualizations, arranging panels, and enabling cross-panel filters and controls to tell a data-driven story with real-time monitoring.

Learn how Kibana dashboards adapt with filters, create drill downs, and open filtered results in discover or navigate to another dashboard for precise, exploratory analysis.

Switch to view mode and use full screen, then share dashboards via link or embed code and export to pdf or images, supported by a 30-day free trial.

Explore Kibana's time series visual builder (TSB) for advanced time-series analysis, applying seven-day moving averages to revenue and making temporal comparisons beyond lens.

Discover how Kibana runtime fields enable on-the-fly calculated fields, like classifying revenue from taxable total price, without reindexing, and visualize with tables and pie charts.

Master advanced formulas in Lens to calculate conversion rates, KPI metrics, and revenue shares using custom calculations and Kibana sample data.

Explore markdown to add contextual text to Kibana dashboards, and use Vega to create 100% customized visualizations via JSON and data sources.

Explore Kibana machine learning for anomaly detection and data frame analytics, using pre-configured algorithms on time series data and natural language processing, with guidance on prerequisites and workflow.

Explore Kibana's predefined ML jobs and AIOps features to run anomaly detection on a data view, analyze log frequency and quantity, and discover patterns with the log pattern analyzer.

Create and monitor anomaly detection jobs in Kibana to track daily revenue and category-level anomalies, using single and multi-metric approaches with forecasting and dashboards.

Explore Kibana's data frame analytics to detect outliers, classify categories, and perform regression to predict numerical values using machine learning on the Kibana sample data e-commerce dataset.

Kibana alerting automatically monitors data 24/7 and notifies you when conditions are met, using rules, actions, and connectors to notify channels like Slack or email.

Connect to your elastic cloud and open Kibana to configure alerting with an index threshold rule that monitors revenue, and send email alerts via the cloud SMTP connector.

Create and manage alerts from discover by setting threshold rules on a data view and email notifications, with options from machine learning anomaly detection to uptime and APM.

Gain mastery of the Elastic Certified Analyst exam for Kibana through hands-on tasks in a real Elastic Stack, covering searching, visualizing, dashboards, and machine learning.

Practice a ten-task Kibana exam with flights, logs, and e-commerce data, featuring step-by-step corrections, tips, and an evaluation grid to guide focused study.

Celebrate your mastery of KQL, Lens visualizations, and dashboards. Explore how Elastic Stack is more than Kibana and dive into Elasticsearch with Mastering Elasticsearch and real-time alerting.