What should you know about elastic search?
Elastic search can be defined as a type of search engine that is used for putting different type of data structures and data files to work. Be it the requirements related to real time analytics or a general text search, the elastic search comes in very handy. If you are looking for ElasticSearch for Developers workshop, you would get a lot of options however, first it is important to understand its basics. It is possible that the course you take teaches you the elastic search in context with the Big Data Courses, but since the basic concepts are going to stay the same; no major changes would be there.
If you are someone who has no idea about the concepts of search systems or the distributed systems, let us first begin with the process where you do the integration of elastic search wherever you want to run the search query. Understand that the main aim of elastic search is to simplify everything that is complex and therefore its major areas of applications revolve around techniques and work abilities like big data. However if you think that the small organizations won’t use the big data, it is not the case, the way it is used is changed and therefore even a start up that isn’t too old in the business would still need to use elastic search.
Built on the base of Apache Lucene, the elastic search can be used for free. Lucene, which is believed to be one of the most advanced search engine library of the modern time ensures that ElasticSearch delivers high performance. As the library support is provided by this, the rest of the functionalities come from java. So the basic language that is used to create elastic search is java and here the aim of Lucene is to provide the indexing services as and when needed.
So when you run a search query, there a variety of APIs here that can be used in order to simplify the complexity of the search in this process. There are three basic aspects that the elastic search would focus on; one will be to store everything from the fields that have been indexed thus making it searchable, second to act like a distributed search engine in cases you need some real time analysis and third index any and every type and size of the data without making the search process complex.
Although here we are only talking about the basics, the areas of application of the Elastic Search are quite huge and therefore, as you continue to learn, you would explore what all it has to offer. Since we are talking about data here, one needs to know that the processes accomplished by elastic search are document oriented. No matter how complex the data is and how you want to sort and store it, it can only be done in the form of documents when you are using the elastic search for this process.