Srivastava / Miller Elasticsearch 7 Quick Start Guide

Get up and running with the distributed search and analytics capabilities of Elasticsearch
1. Auflage 2019
ISBN: 978-1-78980-188-0
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 186 Seiten

No detailed description available for "Elasticsearch 7 Quick Start Guide".

Autoren/Hrsg.

Srivastava, Anurag

Miller, Douglas

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsarchitektur
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse

Inhaltsverzeichnis

Table of Contents - Introducing Elastic Stack
- Installing Elasticsearch
- Many as One
- Prepping Your Data
- Let's Do a Search!
- Performance Tuning
- Aggregating Datasets
- Best Practices

Über Autor(innen)

Srivastava Anurag:
Anurag Srivastava is a senior technical lead in a multinational software company. He has more than 12 years' experience in web-based application development. He is proficient in designing architecture for scalable and highly available applications. He has handled development teams and multiple clients from all over the globe over the past 10 years of his professional career. He has significant experience with the Elastic Stack (Elasticsearch, Logstash, and Kibana) for creating dashboards using system metrics data, log data, application data, and relational databases. He has authored three other booksMastering Kibana 6.x, and Kibana 7 Quick Start Guide, and Learning Kibana 7 - Second Edition, all published by Packt.Miller Douglas:
Douglas Miller is an expert in helping fast-growing companies to improve performance and stability, and in building search platforms using Elasticsearch. Clients (including Walgreens, Nike, Boeing, and Dish Networks) have seen sales increase, fast performance times, and lower overall costs in terms of the total costs of ownership for their Elasticsearch clusters.