Free Solr Courses

Solr is known as an enterprise search platform. It is written in the Java language. Solr is most useful for full-text search, faceted search, hit highlighting, dynamic clustering, NoSQL features, database integration, rich document handling, and real-time indexing.

Solr is an open-source tool. It is a scalable, ready-to-deploy storage or search engine optimized for searching text-centric data in large volumes. It is also known for its fast pace. Solr becomes easier to understand if you have prior knowledge of Java programming and some Hadoop environments. Solr is built on a full-text search engine called Lucene. It is a search platform that is also used for creating search applications.

Solr works well along with Hadoop. By handling the large data pool, Hadoop allows Solr to work efficiently in searching the required information from these data. Along with exploring the data, Solr can also be used for storage purposes. It also follows modern technology and supports non-relational data storage. Hence, it is scalable, ready-to-deploy, storage/search engine optimized to search text-centric data from the large pool.

Solr can allow you to utilize the feature of Lucene as it encompasses Lucene’s Java API. Some of the most intriguing features of Solr include:

• Full-Text Search

• Enterprise Ready

• Restful APIs

• NoSQL Database

• Admin Interface

• Flexible and Extensible

• Text-Centric and Sorted by Relevance

• Highly Scalable

Unlike some of the software, Solr doesn’t mandatorily require Java programming language. The alias for it is to interact with the help of Restful APIs. You can enter the file formats like JSON, CSV, and XML and get the output in the same format through these APIs. Full-text search is supported by the capabilities like phrases, tokens, and more. Solr is also known as enterprise-ready because it allows you to deploy any systems that involve distributed, cloud, etc.

Customizing the components is also possible in Solr through extending and configuring the Java classes accordingly. NoSQL database also helps Solr in searching the information from the cluster of data. Solr is also known for providing a user-friendly interface, easy-to-use, powerful features that allow the developer to perform log managing, addition, deletion, updating, and searching the documents for desired data easier. Introducing replicas and with the help of Hadoop features, Solr is highly scalable. 

Solr is a cutting-edge tool for deploying the systems and creating a search box that supports auto-complete. All these features were unavailable in Lucene, but Solr was able to accomplish them. Solr is a beneficial tool in getting information from the search engine. It helps you retrieve data from a large pool of internet information like images, news, webpages, etc. It is also helpful in managing indexes for large scales of data or applications.

Searching for the relevant information can be done easier where the user passes the queries in the form of keywords or phrases related to the required data. The engine starts looking for the requested information from the cluster of data. The output is provided with the relevant information found from the stored data in the database. 

Learn more exciting concepts on Solr and continue grasping knowledge by enrolling in the free Solr courses offered by Great Learning Academy. Earn free Solr certificate on the successful completion of the registered courses.