Elasticsearch: A Complete Guide (English Edition)

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826 Seiten; 9781787288546.3 Gewicht in Gramm: 3. N° de ref. del artículo 811478

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Acerca de los autores: Bharvi Dixit is an IT professional with extensive experience working on search servers (especially Elasticsearch) and NoSQL databases. He is currently working as a technology and search expert with GrownOut, a SAAS-based referral hiring solution provider company. He is the organizer and speaker of Delhi's Elasticsearch Meetup Group, which is one of the fastest growing Elasticsearch communities in India. He also works as a freelance Elasticsearch consultant and has helped many small to medium size organizations in adapting Elasticsearch for 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 and log monitoring. He holds a master's degree in computer science from LBSIM - Delhi, India, and has a keen interest in creating scalable backend platforms. His other areas of interest are data analytics, distributed computing, automations, and DevOps. Java and Python are the primary languages in which he loves to write code, and he has already built a proprietary software for consultancy firms. In his spare time, he loves writing blogs and reading the latest technology books. He can be connected through LinkedIn at: https://in.linkedin.com/in/bharvidixit

Rafal Kuc is a born team leader and software developer. Currently, he is working as a consultant and a software engineer at Sematext Group, Inc., where he concentrates on open source technologies, such as Apache Lucene, Solr, Elasticsearch, and the Hadoop stack. He has more than 13 years of experience in various software branches ― from banking software to e-commerce products. He is mainly focused on Java but is open to every tool and programming language that will make the achievement of his goal easier and faster. Rafal is one of the founders of the solr.pl website, where he tries to share his knowledge and help people with their problems related to Solr and Lucene. He is also a speaker at various conferences around the world, such as Lucene Eurocon, Berlin Buzzwords, ApacheCon, Lucene Revolution, and DevOps Days. He began his journey with Lucene in 2002, but it wasn't love at first sight. When he came back to Lucene in late 2003, he revised his thoughts about the framework and saw the potential in search technologies. Then came Solr, and that was it. He started working with Elasticsearch in the middle of 2010. Currently, Lucene, Solr, Elasticsearch, and information retrieval are his main points of interest. Rafal is the author of Solr 3.1 Cookbook, its update Solr 4.0 Cookbook, and its third release Solr Cookbook, Third Edition. He is also the author of Elasticsearch Server and its second edition, along with the first edition of Mastering Elasticsearch ― all published by Packt.

Marek Rogozinski is a software architect and consultant with over 10 years of experience. He specializes in solutions based on open source search engines, such as Solr and Elasticsearch, and software stack for Big Data analytics, including Hadoop, Hbase, and Twitter Storm. He is also a cofounder of the solr.pl website, which publishes information and tutorials about Solr and Lucene libraries. He is the coauthor of Mastering ElasticSearch, ElasticSearch Server, and Elasticsearch Server Second Edition ― all published by Packt. Currently, he holds the position of chief technology officer and lead architect at ZenCard, a company processing and analyzing large amounts of payment transactions in real time, allowing automatic and anonymous identification of retail customers on all retailer channels (m-commerce / e-commerce / brick and mortar) and giving retailers a customer retention and loyalty tool.

Saurabh Chhajed is a technologist with vast professional experience in building Enterprise applications that span across product and service industries. He has experience building some of the largest recommender engines using big data analytics and machine learning, and also enjoys acting as an evangelist for big data and NoSQL technologies. With his rich technical experience, Saurabh has helped some of the largest financial and industrial companies in USA build their large product suites and distributed applications from scratch. He shares his personal experiences with technology at: http://saurzcode.in Saurabh has also reviewed books by Packt ― Apache Camel Essentials and Java EE 7 Development with NetBeans 8 ― in the past.