Kibana essentials: use the functionalities of Kibana to reveal insights from the data and build attractive visualizations and dashboards for real-world scenarios
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Birmingham ; Mumbai
Packt Publishing
October 2015
|
| Schriftenreihe: | Community experience distilled
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | xi, 179 Seiten Illustrationen |
| ISBN: | 9781784394936 |
Internformat
MARC
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| 245 | 1 | 0 | |a Kibana essentials |b use the functionalities of Kibana to reveal insights from the data and build attractive visualizations and dashboards for real-world scenarios |c Yuvraj Gupta |
| 264 | 1 | |a Birmingham ; Mumbai |b Packt Publishing |c October 2015 | |
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| 490 | 0 | |a Community experience distilled | |
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| 650 | 4 | |a Data mining | |
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Datensatz im Suchindex
| _version_ | 1804177403165016064 |
|---|---|
| adam_text | Table of Contents
Preface _________________________________________________________________________ vii
Chapter 1: An Introduction to Kibana _______________________________________________ 1
Understanding Elasticsearch 2
The basic concepts of Elasticsearch 3
Prerequisites for installing Kibana 4.1.1 10
Installation of Java 11
Installation of Java on Ubuntu 14.04 11
Installation of Java on Windows 14
Installation of Elasticsearch 16
Installation of Elasticsearch on Ubuntu 14.04 17
Installation of Elasticsearch on Windows 18
Installation of Kibana 21
Installation of Kibana on Ubuntu 14.04 21
Installation of Kibana on Windows 22
Additional information 23
Changing the Elasticsearch configuration 24
Changing the Kibana configuration 26
Importing a JSON file into Elasticsearch 28
Installation of npm 28
Installation of npm on Ubuntu 14.04 28
Installation of npm on Windows 30
Installing elasticdump 31
Installing elasticdump on Ubuntu 14.04 31
Installing elasticdump on Windows 32
Summary 35
Chapter 2: Exploring the Discover Page_____________________________________________ 37
Understanding the time filter 38
Setting the time filter 39
The Auto-refresh page 44
---------------------------------------- M -------------------------------------------
Table of Contents
Understanding the toolbar 44
Using the search bar 45
New Search 58
Save Search 58
Load Saved Search 59
Understanding the Fields list 60
View field data information 60
Filtering by field 61
Functionalities of filters 64
The Enable filter 64
The Disable filter 65
The Pin filter 65
The Unpin filter 65
The Invert filter 65
The Toggle filter 65
The Remove filter 65
Understanding document data 66
Add a field to document data 66
Remove a field from document data 68
View data 68
Sorting documents 70
Moving fields in document data 71
Summary 71
Chapter 3: Exploring the Visualize Page_______________________________________JT3
Understanding aggregations 74
Bucket aggregations 74
Date histogram 74
Histogram 75
Range 75
Date range 76
IPv4 range 76
Terms 77
Filters 77
Significant terms 77
GeoHash 78
Metric aggregations 79
Count 79
Sum 79
Average 79
Min 80
Max 80
Unique count 80
Percentile 80
Percentile ranks 81
steps for designing visualization
Step 1 - selecting a visualization type
Step 2 - selecting search data source
Step 3 - the visualization canvas
Toolbar
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
Summary
Chapter 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
81
82
83
84
85
88
89
89
90
92
92
93
93
95
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100
100
102
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106
106
107
108
109
110
111
112
113
115
115
115
117
117
118
119
120
120
121
121
121
Table of Contents
Embedding a dashboard in a web page 123
Understanding the debug panel 124
Table 125
Request 126
Response 126
Statistics 127
Summary 128
Chapter 5: Exploring the Settings Page___________________________________ 129
Indices 129
Configuring an index pattern 130
Setting the default index pattern 133
Reloading the index fields list 133
Removing an index pattern 134
Managing the field properties 134
The field type format 135
Advanced 138
Objects 140
Managing saved searches, visualizations, and dashboards 140
Viewing a saved object 141
Editing a saved object 141
Deleting a saved object 142
Exporting saved objects 142
Importing saved objects 142
About 143
Summary 143
Chapter 6: Real-Time Twitter Data Analysis ______________________________145
The installation of Logstash 148
The installation of Logstash on Ubuntu 14.04 148
The installation of Logstash on Windows 148
The workflow for real-time Twitter data analysis 149
Creating a Twitter developer account 150
Creating a Logstash configuration file 154
Creating visualizations for scenarios 155
Number of tweets over a period of time 156
Number of tweets in different languages 157
Number of tweets from different geographical locations 157
Number of tweets from Android, iPhone, iPad, and Web devices 158
Number of tweets in various languages using different devices 160
Number of tweets from various countries using different devices 161
The most retweeted user screen name tweeting using
different devices 162
------------------------------------[iv]-------------------------------------
Table of Contents
The most tweeted user s screen name 163
Popular hashtags 164
Twitter metrics 165
Summary 167
Appendix: References___________________________________________ 169
Index 173
[V]
|
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| id | DE-604.BV044241522 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T07:47:31Z |
| institution | BVB |
| isbn | 9781784394936 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029646858 |
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| series2 | Community experience distilled |
| spelling | Gupta, Yuvraj Verfasser (DE-588)113156796X aut Kibana essentials use the functionalities of Kibana to reveal insights from the data and build attractive visualizations and dashboards for real-world scenarios Yuvraj Gupta Birmingham ; Mumbai Packt Publishing October 2015 xi, 179 Seiten Illustrationen txt rdacontent n rdamedia nc rdacarrier Community experience distilled Information visualization Data mining Datenanalyse (DE-588)4123037-1 gnd rswk-swf Visualisierung (DE-588)4188417-6 gnd rswk-swf Datenanalyse (DE-588)4123037-1 s Visualisierung (DE-588)4188417-6 s DE-604 Erscheint auch als Online-Ausgabe 978-1-78439-244-4 Digitalisierung UB Passau - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029646858&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Gupta, Yuvraj Kibana essentials use the functionalities of Kibana to reveal insights from the data and build attractive visualizations and dashboards for real-world scenarios Information visualization Data mining Datenanalyse (DE-588)4123037-1 gnd Visualisierung (DE-588)4188417-6 gnd |
| subject_GND | (DE-588)4123037-1 (DE-588)4188417-6 |
| title | Kibana essentials use the functionalities of Kibana to reveal insights from the data and build attractive visualizations and dashboards for real-world scenarios |
| title_auth | Kibana essentials use the functionalities of Kibana to reveal insights from the data and build attractive visualizations and dashboards for real-world scenarios |
| title_exact_search | Kibana essentials use the functionalities of Kibana to reveal insights from the data and build attractive visualizations and dashboards for real-world scenarios |
| title_full | Kibana essentials use the functionalities of Kibana to reveal insights from the data and build attractive visualizations and dashboards for real-world scenarios Yuvraj Gupta |
| title_fullStr | Kibana essentials use the functionalities of Kibana to reveal insights from the data and build attractive visualizations and dashboards for real-world scenarios Yuvraj Gupta |
| title_full_unstemmed | Kibana essentials use the functionalities of Kibana to reveal insights from the data and build attractive visualizations and dashboards for real-world scenarios Yuvraj Gupta |
| title_short | Kibana essentials |
| title_sort | kibana essentials use the functionalities of kibana to reveal insights from the data and build attractive visualizations and dashboards for real world scenarios |
| title_sub | use the functionalities of Kibana to reveal insights from the data and build attractive visualizations and dashboards for real-world scenarios |
| topic | Information visualization Data mining Datenanalyse (DE-588)4123037-1 gnd Visualisierung (DE-588)4188417-6 gnd |
| topic_facet | Information visualization Data mining Datenanalyse Visualisierung |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029646858&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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