Search

Get Started with ElasticSearch and Kibana on Windows

ElasticSearch is a distributed, restful analytics search engine which is used to provide faster search through your data than the traditional databases including RDBMS and NoSQL databases. It works by regularly creating data indices from the data stored in traditional databases and use Lucene library to search through the data.

Kibana is the visualization client used to explore, visualize and discover the data.

In this post, you would learn about some of the following:

  • Setup ElasticSearch and Kibana on Windows
  • Load Sample Data and play around

Setup ElasticSearch and Kibana on Windows

  • Setup ElasticSearch on Windows: Go to the elasticsearch installation page and download the file elasticsearch-6.2.2.zip. Follow the instructions on the page to start the elasticsearch server. Go to elasticsearch-6.2.2/bin folder and execute the command elasticsearch.bat. This would start elasticsearch server. Confirm the installation by accessing the URL: http://127.0.01:9200. Something like following would get printed:
    {
      "name" : "lp9UsQx",
      "cluster_name" : "elasticsearch",
      "cluster_uuid" : "vrpmq49cQTq4E2fJ9rEEmA",
      "version" : {
        "number" : "6.2.2",
        "build_hash" : "10b1edd",
        "build_date" : "2018-02-16T19:01:30.685723Z",
        "build_snapshot" : false,
        "lucene_version" : "7.2.1",
        "minimum_wire_compatibility_version" : "5.6.0",
        "minimum_index_compatibility_version" : "5.0.0"
      },
      "tagline" : "You Know, for Search"
    }
    
  • Setup Kibana: Go to the Kibana installation page, and, download the file, kibana-6.2.2-windows-x86_64.zip. Follow the instructions on the page to setup Kibana. Go to kibana-6.2.2/bin and execute kibana.bat. This would start the Kibana server. Access the URL: http://127.0.0.1:5601 and you would see the page like following:

    Figure 1. Kibana Dashboard

     

Load Sample Data and Play Around

Get started by loading sample data from the following page:
Follow instructions on the following pages to get a hang of whats happening. However, we may be interested only in defining index patterns and discovering the data from the following pages.

Summary

In this post, you learned about installing Elasticsearch and Kibana on Windows and getting started by loading the data.

Did you find this article useful? Do you have any questions or suggestions about this article in relation to setting up ElasticSearch and Kibana on Windows? Leave a comment and ask your questions and I shall do my best to address your queries.

Ajitesh Kumar

I have been recently working in the area of Data analytics including Data Science and Machine Learning / Deep Learning. I am also passionate about different technologies including programming languages such as Java/JEE, Javascript, Python, R, Julia, etc, and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data, etc. I would love to connect with you on Linkedin. Check out my latest book titled as First Principles Thinking: Building winning products using first principles thinking.

Recent Posts

Agentic Reasoning Design Patterns in AI: Examples

In recent years, artificial intelligence (AI) has evolved to include more sophisticated and capable agents,…

1 month ago

LLMs for Adaptive Learning & Personalized Education

Adaptive learning helps in tailoring learning experiences to fit the unique needs of each student.…

2 months ago

Sparse Mixture of Experts (MoE) Models: Examples

With the increasing demand for more powerful machine learning (ML) systems that can handle diverse…

2 months ago

Anxiety Disorder Detection & Machine Learning Techniques

Anxiety is a common mental health condition that affects millions of people around the world.…

2 months ago

Confounder Features & Machine Learning Models: Examples

In machine learning, confounder features or variables can significantly affect the accuracy and validity of…

2 months ago

Credit Card Fraud Detection & Machine Learning

Last updated: 26 Sept, 2024 Credit card fraud detection is a major concern for credit…

2 months ago