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Kibana Tutorial | Kibana Dashboard Tutorial | Kibana Elasticsearch | ELK Stack Tutorial | Edureka
The document provides an overview of the ELK stack, composed of Elasticsearch, Logstash, and Kibana, which are used for log analysis and data visualization. It highlights Kibana's role in facilitating data interaction, advanced analytics, and real-time dashboard creation. Additionally, the document includes an introduction to Kibana's interface and examples of data visualizations.
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The slides provide an introduction to the session agenda, including a focus on ELK Stack and its components.
The ELK Stack consists of Elasticsearch, Logstash, and Kibana, used for log analysis and data visualization.
Kibana facilitates data searching, analytics, report generation, and dashboard creation with real-time updates.
Hands-on session focusing on data visualization using Kibana, including setting up the dashboard.
Utilizing the Discover and Visualize tabs to analyze datasets like Customer Database and Shakespeare's Work.
Creating various visualizations such as Pie Charts and Bar Charts to analyze customer types and event counts.
Explains the function of Data Warehouses in analytical processing and database consolidation.
Kibana Tutorial | Kibana Dashboard Tutorial | Kibana Elasticsearch | ELK Stack Tutorial | Edureka
- 1. Copyright © 2017,edureka and/or its affiliates. All rights reserved. Agenda
- 2. Copyright © 2017,edureka and/or its affiliates. All rights reserved. Agenda For The Session i. Introduction To ELK Stack ii. Role Of Kibana In ELK iii. Kibana 5 Dashboard iv. Demo: Kibana For Visualization & Analytics
- 3. Copyright © 2017,edureka and/or its affiliates. All rights reserved. Introduction To ELK Stack ELASTICSEARCH LOGSTASH KIBANA • An Apache Lucene based search engine • It is open source & developed using Java • Tool for collecting & monitoring logs from remote machines • Is a data pipeline for Elasticsearch • Data exploration & visualization tool • Used for log & time series analytics, application monitoring & operational intelligence ELK Stack is a combination of 3 open-source tools: Elasticsearch, Logstash & Kibana for log analysis.
- 4. Copyright © 2017,edureka and/or its affiliates. All rights reserved. How Do They Work Together?
- 5. Copyright © 2017,edureka and/or its affiliates. All rights reserved. Role Of Kibana In ELK KIBANA Enables the searching & interaction with data in Elasticsearch Allows performing advanced analytics & creation of reports Enables creation & sharing of dynamic dashboards that get updated in realtime Note: Kibana is accessed over the web at port localhost:5601.
- 6. Copyright © 2017,edureka and/or its affiliates. All rights reserved. Companies Using Kibana
- 7. Copyright © 2017,edureka and/or its affiliates. All rights reserved. Hands-On Data Visualization with Kibana.
- 8. Copyright © 2017,edureka and/or its affiliates. All rights reserved. Kibana 5.6.7 Dashboard If your using Kibana for the first time, this will be the default window that will be shown. You have to set the Index Pattern as specified during Logstash file input to start analyzing the data.
- 9. Copyright © 2017,edureka and/or its affiliates. All rights reserved. Kibana Dashboard: Discover Tab Dataset: Customer Database
- 10. Copyright © 2017,edureka and/or its affiliates. All rights reserved. Kibana Dashboard: Visualize Tab Dataset: Shakespeare’s Work
- 11. Copyright © 2017,edureka and/or its affiliates. All rights reserved. Creating Visualizations: Pie Chart Pie Chart: Count of total number of Customer Types.
- 12. Copyright © 2017,edureka and/or its affiliates. All rights reserved. Creating Visualizations: Bar Chart Bar Chart: Counting how many times Speakers were involved in Shakespeare’s Plays.
- 13. Copyright © 2017,edureka and/or its affiliates. All rights reserved. Creating Visualizations: Date Histogram Date Histogram: Counting how many events came in over a period of time.
- 14. Copyright © 2017,edureka and/or its affiliates. All rights reserved. WebDriver vs. IDE vs. RC ➢ Data Warehouse is like a relational database designed for analytical needs. ➢ It functions on the basis of OLAP (Online Analytical Processing). ➢ It is a central location where consolidated data from multiple locations (databases) are stored.