
ElasticSearch Blueprints
A practical project-based guide to generating compelling search solutions using the dynamic and powerful features of Elasticsearch
Vineeth Mohan(Author)
Packt Publishing
Published on 24. July 2015
Book
Paperback/Softback
192 pages
978-1-78398-492-3 (ISBN)
Description
Key Features
Book DescriptionIf you are a data enthusiast and would like to explore and specialize on search technologies based on Elasticsearch, this is the right book for you. A compelling case-to-case mapping of features and implementation of Elasticsearch to solve many real-world use cases makes this book the right choice to start and specialize on Elasticsearch.What you will learn
Build a simple scalable server for effective searching in Elasticsearch
Design a scalable ecommerce search solution to generate accurate search results using various filters such as filters based on date range and price range
Improve the relevancy and scoring of your searches
Manage realworld, complex data using various techniques, including parentchild search and searching questions based on the criteria of questions and answers
Use the excellent data crunching and aggregation capability of Elasticsearch to analyze your data
Generate realtime visualizations of your data using compelling visualization techniques, such as time graphs, pie charts, and stacked graphs
Enhance the quality of your search and widen the scope of matches using various analyzer techniques, such as lower casing, stemming, and synonym matching
Who this book is forIf you are a data enthusiast and would like to explore and specialize on search technologies based on Elasticsearch, this is the right book for you. A compelling case-to-case mapping of features and implementation of Elasticsearch to solve many real-world use cases makes this book the right choice to start and specialize on Elasticsearch.
Book DescriptionIf you are a data enthusiast and would like to explore and specialize on search technologies based on Elasticsearch, this is the right book for you. A compelling case-to-case mapping of features and implementation of Elasticsearch to solve many real-world use cases makes this book the right choice to start and specialize on Elasticsearch.What you will learn
Build a simple scalable server for effective searching in Elasticsearch
Design a scalable ecommerce search solution to generate accurate search results using various filters such as filters based on date range and price range
Improve the relevancy and scoring of your searches
Manage realworld, complex data using various techniques, including parentchild search and searching questions based on the criteria of questions and answers
Use the excellent data crunching and aggregation capability of Elasticsearch to analyze your data
Generate realtime visualizations of your data using compelling visualization techniques, such as time graphs, pie charts, and stacked graphs
Enhance the quality of your search and widen the scope of matches using various analyzer techniques, such as lower casing, stemming, and synonym matching
Who this book is forIf you are a data enthusiast and would like to explore and specialize on search technologies based on Elasticsearch, this is the right book for you. A compelling case-to-case mapping of features and implementation of Elasticsearch to solve many real-world use cases makes this book the right choice to start and specialize on Elasticsearch.
More details
Language
English
Place of publication
Birmingham
United Kingdom
Dimensions
Height: 235 mm
Width: 191 mm
Thickness: 11 mm
Weight
370 gr
ISBN-13
978-1-78398-492-3 (9781783984923)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Vineeth Mohan
ElasticSearch Blueprints
A practical project-based guide to generating compelling search solutions using the dynamic and powerful features of Elasticsearch
E-Book
01/2025
Packt Publishing
€35.49
Available for download
Person
Vineeth Mohan is an architect and developer. He currently works as the CTO at Factweavers Technologies and is also an Elasticsearch-certified trainer. He loves to spend time studying emerging technologies and applications related to data analytics, data visualizations, machine learning, natural language processing, and developments in search analytics. He began coding during his high school days, which later ignited his interest in computer science, and he pursued engineering at Model Engineering College, Cochin. He was recruited by the search giant Yahoo! during his college days. After 2 years of work at Yahoo! on various big data projects, he joined a start-up that dealt with search and analytics. Finally, he started his own big data consulting company, Factweavers. Under his leadership and technical expertise, Factweavers is one of the early adopters of Elasticsearch and has been engaged with projects related to end-to-end big data solutions and analytics for the last few years. There, he got the opportunity to learn various big-data-based technologies, such as Hadoop, and high-performance data ingress systems and storage. Later, he moved to a start-up in his hometown, where he chose Elasticsearch as the primary search and analytic engine for the project assigned to him. Later in 2014, he founded Factweavers Technologies along with Jalaluddeen; it is consultancy that aims at providing Elasticsearch-based solutions. He is also an Elasticsearch-certified corporate trainer who conducts trainings in India. Till date, he has worked on numerous projects that are mostly based on Elasticsearch and has trained numerous multinationals on Elasticsearch.
Content
Table of Contents
Google Like Web Search
Building Your Own Ecommerce Solution
Relevancy and Scoring
Managing Relational Content
Analytics Using Elasticsearch
Improve Search Experience
Spicing up Search Using Geo
Indexing in Detail
Google Like Web Search
Building Your Own Ecommerce Solution
Relevancy and Scoring
Managing Relational Content
Analytics Using Elasticsearch
Improve Search Experience
Spicing up Search Using Geo
Indexing in Detail