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You're reading from  Learning ELK Stack

Product typeBook
Published inNov 2015
Publisher
ISBN-139781785887154
Edition1st Edition
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Author (1)
Saurabh Chhajed
Saurabh Chhajed
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Saurabh Chhajed

Saurabh Chhajed is a technologist with vast professional experience in building Enterprise applications that span across product and service industries. He has experience building some of the largest recommender engines using big data analytics and machine learning, and also enjoys acting as an evangelist for big data and NoSQL technologies. With his rich technical experience, Saurabh has helped some of the largest financial and industrial companies in USA build their large product suites and distributed applications from scratch. He shares his personal experiences with technology at http://saurzcode.in. Saurabh has also reviewed books by Packt Publishing, Apache Camel Essentials and Java EE 7 Development with NetBeans 8, in the past.
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Kibana 4 features


Some of the unique features in Kibana 4 are as follows:

Search highlights

Search terms are highlighted in the list of documents shown after the search:

Search highlight in Kibana 4

Elasticsearch aggregations

Kibana 4 makes extensive use of Elasticsearch aggregations and sub aggregations to provide more than one aggregation for visualizations. There are mainly two types of aggregations—Bucketing and Metrics. Bucketing produces a list of buckets, each one with a set of documents belonging to it, for example, terms, range, histograms, and so on. Metrics calculate the compute metrics for a set of documents, for example, min, max, sum, average, and so on. These types of computations can only be done on numeric type of fields.

Scripted fields

Scripted fields are used to make computations on the fly on indexed data. For example, for a certain field you always want to multiply by 100 before you show it. You can save it as a scripted field. Scripted fields, though, can't be searched.

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Learning ELK Stack
Published in: Nov 2015Publisher: ISBN-13: 9781785887154

Author (1)

author image
Saurabh Chhajed

Saurabh Chhajed is a technologist with vast professional experience in building Enterprise applications that span across product and service industries. He has experience building some of the largest recommender engines using big data analytics and machine learning, and also enjoys acting as an evangelist for big data and NoSQL technologies. With his rich technical experience, Saurabh has helped some of the largest financial and industrial companies in USA build their large product suites and distributed applications from scratch. He shares his personal experiences with technology at http://saurzcode.in. Saurabh has also reviewed books by Packt Publishing, Apache Camel Essentials and Java EE 7 Development with NetBeans 8, in the past.
Read more about Saurabh Chhajed