Elasticsearch In Action 2nd Edition by Madhusudhan Konda
- Publisher: COMPUTER SCIENCE
- Availability: In Stock
- SKU: 49260
- Number of Pages: 592
Rs.1,180.00
Rs.1,495.00
Tags: best books , Best Selling Books , Big Data , Data Analysis , Data Management , Data Science , Distributed Search , Distributed Systems , Elasticsearch , Elasticsearch 2nd Edition , Elasticsearch Administration , Elasticsearch Analytics , Elasticsearch APIs , Elasticsearch Applications , Elasticsearch Architecture , Elasticsearch Author , Elasticsearch Best Practices , Elasticsearch Book , Elasticsearch Cluster , Elasticsearch Configuration , Elasticsearch Data Modeling , Elasticsearch Data Storage , Elasticsearch Data Visualization , Elasticsearch Deployment , Elasticsearch Development , Elasticsearch Framework , Elasticsearch Guide , Elasticsearch In Action , Elasticsearch Index Management , Elasticsearch Indexing , Elasticsearch Monitoring , Elasticsearch Optimization , Elasticsearch Performance , Elasticsearch Plugins , Elasticsearch Queries , Elasticsearch Query Language , Elasticsearch Reliability , Elasticsearch Scalability , Elasticsearch Security , Elasticsearch Tools , Elasticsearch Tutorial , Elasticsearch Use Cases , Full-text Search , good books , Information Retrieval , Information Technology , Madhusudhan Konda , NoSQL , Search Engine , Software Development
📘 Elasticsearch in Action (2nd Edition)
✍ Author: Madhusudhan Konda
🏢 Publisher: Manning Publications
📅 Publication Year: 2022
📖 Pages: ~450 (Estimated)
📂 Category: Data Engineering, Search Engines, Big Data
"Elasticsearch in Action (2nd Edition)" is a comprehensive guide to Elasticsearch, an open-source, distributed search and analytics engine. This edition introduces Elasticsearch 7.x and 8.x with hands-on examples, real-world use cases, and best practices for implementing scalable search solutions.
Key Topics Covered
✅ Introduction to Elasticsearch – Core concepts like indexes, documents, and shards
✅ Query DSL – Writing powerful search queries with filtering and aggregations
✅ Elasticsearch Architecture – How clusters, nodes, and indices work
✅ Full-Text Search & Ranking – Optimizing search relevance
✅ Data Ingestion & Indexing – Bulk indexing, pipelines, and best practices
✅ Aggregations & Analytics – Advanced data analysis with Elasticsearch
✅ Performance Tuning – Speeding up queries and optimizing resources
✅ Security & Scaling – Authentication, authorization, and distributed scaling strategies
✅ Integrations – Connecting Elasticsearch with Kibana, Logstash, and Beats
✅ Machine Learning & NLP – Leveraging AI for advanced search features
Who Should Read This Book?
✔ Developers & Data Engineers – Want to integrate Elasticsearch into applications
✔ DevOps & SREs – Need to manage and scale Elasticsearch clusters
✔ Analysts & Data Scientists – Looking for real-time data exploration & analytics
✔ Business Intelligence Teams – Implementing enterprise-grade search systems
Why Read This Book?
🚀 Updated for the Latest Elasticsearch Versions (7.x & 8.x)
📚 Hands-on Examples & Step-by-Step Guides
🔍 Best Practices for Search, Analytics & Scaling
💡 Real-World Use Cases & Expert Insights
════ ⋆★⋆ ═══
Writer ✤ Madhusudhan Konda (Author)