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    Learning Elasticsearch. Structured and unstructured data using distributed real-time search and analytics

    (ebook) (audiobook) (audiobook) Język publikacji: angielski
    Learning Elasticsearch. Structured and unstructured data using distributed real-time search and analytics Abhishek Andhavarapu - okładka ebooka

    Learning Elasticsearch. Structured and unstructured data using distributed real-time search and analytics Abhishek Andhavarapu - okładka ebooka

    Learning Elasticsearch. Structured and unstructured data using distributed real-time search and analytics Abhishek Andhavarapu - okładka audiobooka MP3

    Learning Elasticsearch. Structured and unstructured data using distributed real-time search and analytics Abhishek Andhavarapu - okładka audiobooks CD

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    159,00 zł

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    Do przechowalni

    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.

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    O autorze ebooka

    Abhishek Andhavarapu is a software engineer at eBay who enjoys working on highly scalable distributed systems. He has a master's degree in Distributed Computing and has worked on multiple enterprise Elasticsearch applications, which are currently serving hundreds of millions of requests per day. He began his journey with Elasticsearch in 2012 to build an analytics engine to power dashboards and quickly realized that Elasticsearch is like nothing out there for search and analytics. He has been a strong advocate since then and wrote this book to share the practical knowledge he gained along the way.

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