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Kibana Training

Kibana Training –  Introduction

  • Flexible analytics and visualization platform
  • Real-time summary and charting of streaming data
  • Intuitive interface for a variety of users
  • Instant sharing and embedding of dashboards

What You Will Learn:

  • Loaded a sample data set into your Elasticsearch installation
  • Defined at least one index pattern
  • Use the Discover functionality to explore your data
  • Set up some visualizations to graphically represent your data
  • Assembled visualizations into a Dashboard

 

Course Contents

1. An Introduction to Kibana

  • Understanding Elasticsearch
    • The basic concepts of Elasticsearch
  • Prerequisites for installing Kibana 4.1.1
    • Installation of Java
      • Installation of Java on Ubuntu 14.04
      • Installation of Java on Windows
    • Installation of Elasticsearch
      • Installation of Elasticsearch on Ubuntu 14.04
      • Installation of Elasticsearch on Windows
    • Installation of GIT
    • Installation of Kibana
      • Installation of Kibana on Ubuntu 14.04
      • Installation of Kibana on Windows
    • Additional information
      • Changing the Elasticsearch configuration
      • Changing the Kibana configuration
  • Importing a JSON file into Elasticsearch
    • Installation of npm
      • Installation of npm on Ubuntu 14.04
      • Installation of npm on Windows
    • Installing elasticdump
      • Installing elasticdump on Ubuntu 14.04
      • Installing elasticdump on Windows

2. Exploring the Discover Page

  • Understanding the time filter
    • Setting the time filter
    • The Auto-refresh page
  • Understanding the toolbar
    • Using the search bar
      • New Search
      • Save Search
      • Load Saved Search
  • Understanding the Fields list
  • View field data information
  • Filtering by field
  • Functionalities of filters
    • The Enable filter
    • The Disable filter
    • The Pin filter
    • The Unpin filter
    • The Invert filter
    • The Toggle filter
    • The Remove filter
  • Understanding document data
    • Add a field to document data
    • Remove a field from document data
    • View data
    • Sorting documents
    • Moving fields in document data

3. Exploring the Visualize Page

  • Understanding aggregations
    • Bucket aggregations
      • Date histogram
      • Histogram
      • Range
      • Date range
      • IPv4 range
      • Terms
      • Filters
      • Significant terms
      • GeoHash
    • Metric aggregations
      • Count
      • Sum
      • Average
      • Min
      • Max
      • Unique count
      • Percentile
      • Percentile ranks
  • Steps for designing visualization
    • Step 1 – selecting a visualization type
    • Step 2 – selecting search data source
    • Step 3 – the visualization canvas
      • Toolbar
        • New Visualization
        • Save Visualization
        • Load Saved Visualization
        • Share Visualization
        • Refresh
      • Aggregation designer
      • Preview canvas
  • An explanation of visualization types
    • Area Chart
      • Overlap
      • Percentage
      • Wiggle
      • Silhouette
    • Data Table
    • Line Chart
      • Log
      • Square root
    • Markdown widget
    • Metric
    • Pie Chart
    • Tile Map
      • Shaded Circle Markers
      • Shaded GeoHash Grid
      • Heatmap
      • Desaturate map tiles
    • Vertical Bar Chart
      • Percentage
      • Grouped

4. Exploring the Dashboard Page

  • Understanding the toolbar
    • The New Dashboard option
    • Adding visualizations
    • Using the search bar
    • The Save Dashboard option
    • The Load Saved Dashboard option
    • Sharing the saved dashboard
  • Understanding the dashboard canvas
    • Moving visualizations
    • Resizing visualizations
    • Editing visualizations
    • Removing visualizations
  • Embedding a dashboard in a web page
  • Understanding the debug panel
    • Table
    • Request
    • Response
    • Statistics

5. Exploring the Settings Page

  • Indices
    • Configuring an index pattern
    • Setting the default index pattern
    • Reloading the index fields list
    • Removing an index pattern
    • Managing the field properties
      • The field type format
  • Advanced
  • Objects
    • Managing saved searches, visualizations, and dashboards
      • Viewing a saved object
      • Editing a saved object
      • Deleting a saved object
      • Exporting saved objects
      • Importing saved objects

6. Real-Time Twitter Data Analysis

  • The installation of Logstash
    • The installation of Logstash on Ubuntu 14.04
    • The installation of Logstash on Windows
  • The workflow for real-time Twitter data analysis
  • Creating a Twitter developer account
  • Creating a Logstash configuration file
  • Creating visualizations for scenarios
    • Number of tweets over a period of time
    • Number of tweets in different languages
    • Number of tweets from different geographical locations
    • Number of tweets from Android, iPhone, iPad, and Web devices
    • Number of tweets in various languages using different devices
    • Number of tweets from various countries using different devices
    • The most retweeted user screen name tweeting using different devices
    • The most tweeted user’s screen name
    • Popular hashtags
    • Twitter metrics

Big Data Training Bangalore Hadoop Training in Bangalore, 2013