Data
Reader small image

You're reading from  Advanced Elasticsearch 7.0

Product typeBook
Published inAug 2019
Reading LevelBeginner
PublisherPackt
ISBN-139781789957754
Edition1st Edition
Languages
Java
Tools
Elasticsearch
Concepts
Enterprise Search
Right arrow
Author (1)
Wai Tak Wong
Wai Tak Wong
author image
Wai Tak Wong

Wai Tak Wong is a faculty member in the Department of Computer Science at Kean University, NJ, USA. He has more than 15 years professional experience in cloud software design and development. His PhD in computer science was obtained at NJIT, NJ, USA. Wai Tak has served as an associate professor in the Information Management Department of Chung Hua University, Taiwan. A co-founder of Shanghai Shellshellfish Information Technology, Wai Tak acted as the Chief Scientist of the R&D team, and he has published more than a dozen algorithms in prestigious journals and conferences. Wai Tak began his search and analytics technology career with Elasticsearch in the real estate market and later applied this to data management and FinTech data services.
Read more about Wai Tak Wong

Right arrow

Working with Kibana to visualize the analytics results

Ensure that Kibana is running before we perform the following step-by-step instructions. We are going to draw the Bollinger Band on the Kibana Visualize page:

  1. Similar to the Creating index pattern subsection of Chapter 16, Machine Learning with Elasticsearch, let's create a Kibana index pattern named cf_etf_history_data, as shown in the following screenshot:
  1. Use a web browser and type http://localhost:5601/app/kibana#/visualize?_g=() to reach the Kibana Visualize page. We will see a panel that is similar to the following screenshot:

  1. Click the + button cover, which is by the search box, to get into the New Visualization panel, as shown in the following screenshot:
  1. Click the Line button to create a line chart and Kibana will pop up a new panel to let us select the index pattern for the new line input. Select...
lock icon
The rest of the page is locked
Previous Page
Chapter 24 of 25, Page 6
Next Page
You have been reading a chapter from
Advanced Elasticsearch 7.0
Published in: Aug 2019Publisher: PacktISBN-13: 9781789957754
© 2019 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Wai Tak Wong

Wai Tak Wong is a faculty member in the Department of Computer Science at Kean University, NJ, USA. He has more than 15 years professional experience in cloud software design and development. His PhD in computer science was obtained at NJIT, NJ, USA. Wai Tak has served as an associate professor in the Information Management Department of Chung Hua University, Taiwan. A co-founder of Shanghai Shellshellfish Information Technology, Wai Tak acted as the Chief Scientist of the R&D team, and he has published more than a dozen algorithms in prestigious journals and conferences. Wai Tak began his search and analytics technology career with Elasticsearch in the real estate market and later applied this to data management and FinTech data services.
Read more about Wai Tak Wong

Other recommended products

Related to this chapter

Elasticsearch 7 Quick Start Guide

Elasticsearch 7 Quick Start Guide

Elasticsearch is one of the most popular tools for distributed search. This book will help you in understanding all about the new features of Elasticsearch 7, and how to use them efficiently for searching, aggregating and indexing data with speed and accuracy.

BookOct 2019186 pages
Learning Elasticsearch

Learning Elasticsearch

Elasticsearch is a Lucene-based search and analytics engine for distributed search and analytics. This book will be your hands-on guide as you explore and put to use the features of Elasticsearch 5.x.

BookJun 2017404 pages
Mastering Elasticsearch 5.x

Mastering Elasticsearch 5.x

This book will help you leverage Elasticsearch, guiding you through everything from writing and creating customized plugins to extend Elasticsearch to tackling challenges while handling relational data in Elasticsearch. You’ll learn with the help of practical examples in a step-by-step way.

BookFeb 2017428 pages
Elasticsearch 7.0 Cookbook

Elasticsearch 7.0 Cookbook

This book is your one-stop guide to master Elasticsearch. It provides numerous problem-solution based recipes through which you can implement Elasticsearch in your enterprise applications in a very simple, hassle-free way.

BookApr 2019724 pages
Elasticsearch 5.x Cookbook

Elasticsearch 5.x Cookbook

BookFeb 2017696 pages
Mastering Kibana 6.x

Mastering Kibana 6.x

Mastering Kibana 6.x provides a rundown explanation required for data visualization and analysis such as X-Pack features, Beats, and machine learning. You will be expert in creating analytics-driven visualizations from a web application. You will be a maestro in creating custom monitoring dashboard using Beats with various examples

BookJul 2018376 pages
Learning Elastic Stack 7.0

Learning Elastic Stack 7.0

This book teaches you about every component of the Elastic Stack - including Elasticsearch, Kibana, Logstash, and X-pack - with new and the updated features that are released with the 7.0 version. With the help of this book, you will be able to develop enterprise-grade distributed search and analytics applications for your data without any hassle.

BookMay 2019474 pages
Learning Elastic Stack 6.0

Learning Elastic Stack 6.0

This book will give you a fundamental understanding of what the stack is all about, and how to use it efficiently to build powerful real-time data processing applications. It provide in-depth coverage of the different components of the Elastic Stack, and how to use them all together.

BookDec 2017434 pages
Learning Kibana 7

Learning Kibana 7

This book will introduce you to Kibana 7, and will show you how it fits into the Elastic stack. You will build a pure metric analytics architecture and visualize it using Timelion. You will also learn how to build relationships between documents using Graph visualization. You will also learn to build powerful Elastic dashboards using Kibana.

BookJul 2019280 pages
Mastering Elastic Stack

Mastering Elastic Stack

BookFeb 2017526 pages
Machine Learning with the Elastic Stack

Machine Learning with the Elastic Stack

Machine Learning with the Elastic Stack, Second Edition, provides a comprehensive overview of Elastic Stack's machine learning features for both time series data analysis as well as for supervised learning and unsupervised learning that helps make machine learning truly operational for you.

BookMay 2021450 pages

Personalised recommendations for you

Based on your interests and search pattern

Et al.

Et al.

Ever wonder why speech recognition systems don't understand the Scottish accent, or what would happen if an astronaut only ate mac 'n' cheese, or other spurious reflections you'd have at a bar? We did, then collated those deliberations into absurd research articles with fake figures and methodologies inspired by even more fictionally absurd studies.

BookAug 2023230 pages5
Generative AI with LangChain

Generative AI with LangChain

This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.

BookDec 2023360 pages4
Generative AI with LangChain

Generative AI with LangChain

This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.

BookDec 2023360 pages5
Generative AI with LangChain

Generative AI with LangChain

This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.

BookDec 2023360 pages1
Generative AI with LangChain

Generative AI with LangChain

This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.

BookDec 2023360 pages5
Mastering Tableau 2023

Mastering Tableau 2023

This book is a comprehensive resource to mastering your Tableau skills and becoming a BI expert. As you progress, you will learn how to build advanced dashboards and improve your storytelling to derive key business insight, as well as make you well-versed with advanced functionalities of Tableau in the business intelligence domain.

BookAug 2023684 pages
Building AI Applications with ChatGPT APIs

Building AI Applications with ChatGPT APIs

This guide covers all ChatGPT API features for effortless creation of robust AI powered apps. With its help, you’ll be able to leverage ChatGPT’s cutting-edge NLP models to take your app development skills to the next level. You’ll also work on ten exciting projects that will give you the practical know-how that you can apply to your existing applications.

BookSep 2023258 pages5
Building AI Applications with ChatGPT APIs

Building AI Applications with ChatGPT APIs

This guide covers all ChatGPT API features for effortless creation of robust AI powered apps. With its help, you’ll be able to leverage ChatGPT’s cutting-edge NLP models to take your app development skills to the next level. You’ll also work on ten exciting projects that will give you the practical know-how that you can apply to your existing applications.

BookSep 2023258 pages2
Data Engineering with AWS

Data Engineering with AWS

Embark on a journey to master data engineering pipelines on AWS! Our book offers a hands-on experience of AWS services for ingesting, transforming, and consuming data. Whether you're an absolute beginner or someone with basic data engineering experience, this guide is an indispensable resource.

BookOct 2023636 pages5
Modern Data Architecture on AWS

Modern Data Architecture on AWS

Every organization wants an agile, performant, and cost-effective data platform that meets all their current and future business needs. Purpose-built AWS analytics services and their features play a big part in building such a modern data platform. This book brings to you all the design and architectural patterns that’ll help you achieve this goal.

BookAug 2023420 pages5
Practical Guide to Applied Conformal Prediction in Python

Practical Guide to Applied Conformal Prediction in Python

Discover the power of Conformal Prediction with the "Practical Guide to Applied Conformal Prediction in Python." Master the latest techniques to quantify uncertainty in machine learning and computer vision models, and seamlessly apply them to your industry applications.

BookDec 2023240 pages
TinyML Cookbook

TinyML Cookbook

With over 70 project-based recipes, the TinyML Cookbook is a practical guide that will help you to get the most out of your microcontrollers. It provides a comprehensive understanding of the theoretical foundations while giving you hands-on experience training ML models for deployment on Arduino Nano 33 BLE Sense, Raspberry Pi Pico, and SparkFun RedBoard Artemis Nano microcontrollers.

BookNov 2023664 pages