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Learning Elasticsearch: Structured and unstructured data using distributed real-time search and analytics (PDF - Version)
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- Delivery by email. Can be DOWNLOAD IMMEDIATELY after purchasing.
- PDF eBook eTextbook Only! NO Online Access. NO Physical Book, Can be read on any devices (Kindle, NOOK, Android/IOS devices, Windows, MAC).
- WE NOW ACCEPT CREDIT CARD, PAYPAL payments
- If you need EPUB Version, please contact to us
Key Features
- Get to grips with the basics of Elasticsearch concepts and its APIs, and use them to create efficient applications
- Create large-scale Elasticsearch clusters and perform analytics using aggregation
- This comprehensive guide will get you up and running with Elasticsearch 5.x in no time
Book Description
Elasticsearch is a modern, fast, distributed, scalable, fault tolerant, and open source search and analytics engine. You can use Elasticsearch for small or large applications with billions of documents. It is built to scale horizontally and can handle both structured and unstructured data. Packed with easy-to- follow examples, this book will ensure you will have a firm understanding of the basics of Elasticsearch and know how to utilize its capabilities efficiently.
You will install and set up Elasticsearch and Kibana, and handle documents using the Distributed Document Store. You will see how to query, search, and index your data, and perform aggregation-based analytics with ease. You will see how to use Kibana to explore and visualize your data.
Further on, you will learn to handle document relationships, work with geospatial data, and much more, with this easy-to-follow guide. Finally, you will see how you can set up and scale your Elasticsearch clusters in production environments.
What you will learn
- See how to set up and configure Elasticsearch and Kibana
- Know how to ingest structured and unstructured data using Elasticsearch
- Understand how a search engine works and the concepts of relevance and scoring
- Find out how to query Elasticsearch with a high degree of performance and scalability
- Improve the user experience by using autocomplete, geolocation queries, and
Estimated between and
Will usually ship within 1 business day.- Delivery by email. Can be DOWNLOAD IMMEDIATELY after purchasing.
- PDF eBook eTextbook Only! NO Online Access. NO Physical Book, Can be read on any devices (Kindle, NOOK, Android/IOS devices, Windows, MAC).
- WE NOW ACCEPT CREDIT CARD, PAYPAL payments
- If you need EPUB Version, please contact to us
Key Features
- Get to grips with the basics of Elasticsearch concepts and its APIs, and use them to create efficient applications
- Create large-scale Elasticsearch clusters and perform analytics using aggregation
- This comprehensive guide will get you up and running with Elasticsearch 5.x in no time
Book Description
Elasticsearch is a modern, fast, distributed, scalable, fault tolerant, and open source search and analytics engine. You can use Elasticsearch for small or large applications with billions of documents. It is built to scale horizontally and can handle both structured and unstructured data. Packed with easy-to- follow examples, this book will ensure you will have a firm understanding of the basics of Elasticsearch and know how to utilize its capabilities efficiently.
You will install and set up Elasticsearch and Kibana, and handle documents using the Distributed Document Store. You will see how to query, search, and index your data, and perform aggregation-based analytics with ease. You will see how to use Kibana to explore and visualize your data.
Further on, you will learn to handle document relationships, work with geospatial data, and much more, with this easy-to-follow guide. Finally, you will see how you can set up and scale your Elasticsearch clusters in production environments.
What you will learn
- See how to set up and configure Elasticsearch and Kibana
- Know how to ingest structured and unstructured data using Elasticsearch
- Understand how a search engine works and the concepts of relevance and scoring
- Find out how to query Elasticsearch with a high degree of performance and scalability
- Improve the user experience by using autocomplete, geolocation queries, and
Estimated between and
Will usually ship within 1 business day.