Learn to use Solr in real-world contexts, even if you are not a programmer, using simple configuration examples Define simple configurations for searching data in several ways in your specific context, from suggestions to advanced faceted navigation Teaches you in an easy-to-follow style, full of e
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Packt is proud to present its latest publication, Apache Solr Beginner’s Guide by Alfredo Serafini. This is an easy-to-read book that will show the reader how to define simple configurations for searching data in several ways in your specific context, from suggestions to advanced faceted navigation using Solr. The print book is 324 pages long and is priced at $44.99, while the eBook is $22.94.
About the author:
Alfredo Serafini is a freelance software consultant, currently living in Rome, Italy. He has a mixed background. He has a bachelor's degree in Computer Science Engineering with a thesis on Music Information Retrieval, a professional master's course in Sound Engineering with a thesis on gestural interface to MAX/MSP platform. He had been involved as a consultant and developer at Artificial Intelligence Research at Tor Vergata (ART) group. During this experience, he got his first chance to play with the Lucene library. He is currently a Linked Open Data enthusiast. He has also had a lot of interaction with the Scala language as well as graph and network databases.
Solr is an open source enterprise search platform from the Apache Lucene project. Solr is written in Java and runs as a standalone full-text search server within a servlet container such as Apache Tomcat or Jetty.
Apache Solr Beginner’s Guide will help the readers to configure their own search engine experience. The book starts off by letting you explore a simple search over real data . The readers will then go through a step-by-step description to explore several practical features. At the end of the book the readers will see how Solr is used in different real-world contexts.
Apache Solr Beginner’s Guide covers the following topics:
Chapter 1: Getting Ready with the Essentials
Chapter 2: Indexing with Local PDF Files
Chapter 3: Indexing Example Data from DBpedia – Paintings
Chapter 4: Searching the Example Data
Chapter 5: Extending Search
Chapter 6: Using Faceted Search – from Searching to Finding
Chapter 7: Working with Multiple Entities, Multicores, and
Chapter 8: Indexing External Data sources
Chapter 9: Introducing Customizations
Anyone wanting to embed a search engine in their site to help users navigate around the mammoth data will find this book an invaluable resource. For more information, please visit the book's page at: http://www.packtpub.com/apache-solr-beginners-guide/book