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    Elasticsearch Essentials. Harness the power of ElasticSearch to build and manage scalable search and analytics solutions with this fast-paced guide Karthik Srinivasan, Henrik Lindstrom, Bharvi Dixit, Michael Lussier, Ruslan Zavacky

    (ebook) (audiobook) (audiobook) Książka w języku angielskim
    Elasticsearch Essentials. Harness the power of ElasticSearch to build and manage scalable search and analytics solutions with this fast-paced guide Karthik Srinivasan, Henrik Lindstrom, Bharvi Dixit, Michael Lussier, Ruslan Zavacky - okladka książki

    Elasticsearch Essentials. Harness the power of ElasticSearch to build and manage scalable search and analytics solutions with this fast-paced guide Karthik Srinivasan, Henrik Lindstrom, Bharvi Dixit, Michael Lussier, Ruslan Zavacky - okladka książki

    Elasticsearch Essentials. Harness the power of ElasticSearch to build and manage scalable search and analytics solutions with this fast-paced guide Karthik Srinivasan, Henrik Lindstrom, Bharvi Dixit, Michael Lussier, Ruslan Zavacky - audiobook MP3

    Elasticsearch Essentials. Harness the power of ElasticSearch to build and manage scalable search and analytics solutions with this fast-paced guide Karthik Srinivasan, Henrik Lindstrom, Bharvi Dixit, Michael Lussier, Ruslan Zavacky - audiobook CD

    Autorzy:
    Karthik Srinivasan, Henrik Lindstrom, Bharvi Dixit, Michael Lussier, Ruslan Zavacky
    Wydawnictwo:
    Packt Publishing (Z chęcią przeczytam książkę w języku polskim)
    Ocena:
    Bądź pierwszym, który oceni tę książkę
    Stron:
    240
    Dostępne formaty:
         PDF
         ePub
         Mobi
    With constantly evolving and growing datasets, organizations have the need to find actionable insights for their business. ElasticSearch, which is the world's most advanced search and analytics engine, brings the ability to make massive amounts of data usable in a matter of milliseconds. It not only gives you the power to build blazing fast search solutions over a massive amount of data, but can also serve as a NoSQL data store.

    This guide will take you on a tour to become a competent developer quickly with a solid knowledge level and understanding of the ElasticSearch core concepts. Starting from the beginning, this book will cover these core concepts, setting up ElasticSearch and various plugins, working with analyzers, and creating mappings. This book provides complete coverage of working with ElasticSearch using Python and performing CRUD operations and aggregation-based analytics, handling document relationships in the NoSQL world, working with geospatial data, and taking data backups. Finally, we’ll show you how to set up and scale ElasticSearch clusters in production environments as well as providing some best practices.

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    O autorach książki

    Elasticsearch, big data
    Contacted 10/11/14
    Bharvi Dixit is an IT professional with extensive experience of working on search servers, NoSQL databases, and cloud services. He holds a master's degree in computer science and

    is currently working with Sentieo, a USA-based financial data and equity research platform, where he leads the overall platform and architecture of the company spanning across

    hundreds of servers. At Sentieo, he also plays a key role in the search and data team.



    He is also the organizer of Delhi's Elasticsearch Meetup Group, where he speaks about Elasticsearch and Lucene and is continuously building the community around these technologies.



    Bharvi also works as a freelance Elasticsearch consultant and has helped more than half a dozen organizations adapt Elasticsearch to solve their complex search problems around

    different use cases, such as creating search solutions for big data-automated intelligence platforms in the area of counter-terrorism and risk management, as well as in other domains, such as recruitment, e-commerce, finance, social search, and log monitoring.



    He has a keen interest in creating scalable backend platforms. His other areas of interests are search engineering, data analytics, and distributed computing. Java and Python are the primary languages in which he loves to write code. He has also built a proprietary software for consultancy firms.



    In 2013, he started working on Lucene and Elasticsearch, and in 2016, he authored his first book, Elasticsearch Essentials, which was published by Packt. He has also worked as a technical reviewer for the book Learning Kibana 5.0 by Packt.



    You can connect with him on LinkedIn at https://in.linkedin.com/in/bharvidixit or can follow him on Twitter @d_bharvi.
    Elasticsearch

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